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Danyu Lin’s publications on Google Scholar

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
2020 2021 2022 2023 2024


  1. Lin DY, Wei LJ. The robust inference for the Cox proportional hazards model. Journal of the American Statistical Association. 1989 Dec 1;84(408):1074-1078. doi: 10.1080/01621459.1989.10478874.
  2. Wei LJ, Lin DY, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of the American Statistical Association. 1989 Dec 1;84(408):1065-1073. doi: 10.1080/01621459.1989.10478873.


  1. Lin DYMULCOX: a computer program for the Cox regression analysis of multiple failure time variables. Computer Methods and Programs in Biomedicine. 1990 Jun;32(2):125-135. doi: 10.1016/0169-2607(90)90092-n. PMID: 2397636.
  2. Wei LJ, Smythe RT, Lin DY, Park TS. Statistical inference with data-dependent treatment allocation rules. Journal of the American Statistical Association. 1990 Mar 1;85(409):156-162. doi: 10.1080/01621459.1990.10475319.
  3. Wei LJ, Ying Z, Lin DYLinear regression analysis of censored survival data based on rank tests. Biometrika. 1990 Dec 1;77(4):845-851. doi: 10.1093/biomet/77.4.845.


  1. Lin DY, Wei LJ, DeMets DL. Exact statistical inference for group sequential trials. Biometrics. 1991 Dec;47(4):1399-1408. doi: 10.2307/2532394. PMID: 1786325.
  2. Lin DY, Wei LJ. Goodness-of-fit tests for the general Cox regression model. Statistica Sinica. 1991;1(1):1–17.
  3. Lin DY, Wei LJ. Repeated confidence intervals for a scale change in a sequential survival study. Biometrics. 1991 Mar;47(1):289-294. doi: 10.2307/2532513. PMID: 2049502.
  4. Lin DYGoodness-of-fit analysis for the Cox regression model based on a class of parameter estimators. Journal of the American Statistical Association. 1991 Sep 1;86(415):725-728.. doi: 10.1080/01621459.1991.10475101.
  5. Lin DYNonparametric sequential testing in clinical trials with incomplete multivariate observations. Biometrika. 1991 Mar 1;78(1):123-131. doi: 10.1093/biomet/78.1.123.


  1. Lin DY, Geyer CJ. Computational methods for semiparametric linear regression with censored data. Journal of Computational and Graphical Statistics. 1992 Mar 1;1(1):77-90. doi: 10.1080/10618600.1992.10474577.
  2. Lin DY, Liu PY. Nonparametric sequential tests against ordered alternatives in multiple-armed clinical trials. Biometrika. 1992 Jun 1;79(2):420-425. doi: 10.1093/biomet/79.2.420.
  3. Lin DYGOFCOX: a computer program for the goodness-of-fit analysis of the Cox proportional hazards model. Computer Methods and Programs in Biomedicine. 1992 Jul;38(2-3):101-105. doi: 10.1016/0169-2607(92)90080-q. PMID: 1458862.
  4. Lin DYSequential log rank tests adjusting for covariates with the accelerated life model. Biometrika. 1992 Sep 1;79(3):523-529. doi: 10.1093/biomet/79.3.523.


  1. Lin DY, Fischl MA, Schoenfeld DA. Evaluating the role of CD4-lymphocyte counts as surrogate endpoints in human immunodeficiency virus clinical trials. Statistics in Medicine. 1993 May 15;12(9):835-842. doi: 10.1002/sim.4780120904. PMID: 8101011.
  2. Lin DY, Wei LJ, Ying Z. Checking the Cox model with cumulative sums of martingale-based residuals. Biometrika. 1993 Sep 1;80(3):557-572. doi: 10.1093/biomet/80.3.557.
  3. Lin DY, Ying Z. A simple nonparametric estimator of the bivariate survival function under univariate censoring. Biometrika. 1993 Sep 1;80(3):573-581. doi: 10.1093/biomet/80.3.573.
  4. Lin DY, Ying Z. Cox regression with incomplete covariate measurements. Journal of the American Statistical Association. 1993 Dec 1;88(424):1341-1349. doi: 10.1080/01621459.1993.10476416.
  5. Lin DYMULCOX2: a general computer program for the Cox regression analysis of multivariate failure time data. Computer Methods and Programs in Biomedicine. 1993 Aug;40(4):279-293. doi: 10.1016/0169-2607(93)90013-b. PMID: 8261775.
  6. Koenig JQ, Larson TV, Hanley QS, Rebolledo V, Dumler K, Checkoway H, Wang SZ, Lin DY, Pierson WE. Pulmonary function changes in children associated with fine particulate matter. Environmental Research. 1993 Oct;63(1):26-38. doi: 10.1006/enrs.1993.1123. PMID: 8404772.


  1. Lin DY, Fleming TR, Wei LJ. Confidence bands for survival curves under the proportional hazards model. Biometrika. 1994 Mar 1:73-81. doi: 10.1093/biomet/81.1.73.
  2. Lin DY, Ying Z. Semiparametric analysis of the additive risk model. Biometrika. 1994 Mar 1;81(1):61-71. doi: 10.1093/biomet/81.1.61.
  3. Lin DYCox regression analysis of multivariate failure time data: the marginal approach. Statistics in Medicine. 1994 Nov 15;13(21):2233-2247. doi: 10.1002/sim.4780132105. PMID: 7846422.
  4. Guo SW, Lin DYRegression analysis of multivariate grouped survival data. Biometrics. 1994 Sep;50(3):632-639. doi: 10.2307/2532778. PMID: 7981390.


  1. Lin DY, Ying Z. Semiparametric analysis of general additive-multiplicative hazard models for counting processes. The Annals of Statistics. 1995 Oct 1:1712-34. doi: 10.1214/aos/1176324320.
  2. Lin DY, Ying Z. Semiparametric inference for the accelerated life model with time-dependent covariates. Journal of Statistical Planning and Inference. 1995 Mar 1;44(1):47-63. doi: 10.1016/0378-3758(94)00039-X.
  3. Combes B, Carithers RL Jr, Maddrey WC, Lin DY, McDonald MF, Wheeler DE, Eigenbrodt EH, Muñoz SJ, Rubin R, Garcia-Tsao G, et al. A randomized, double-blind, placebo-controlled trial of ursodeoxycholic acid in primary biliary cirrhosis. Hepatology. 1995 Sep;22(3):759-766. doi: 10.1002/hep.1840220311. PMID: 7657280.
  4. Crawford SW, Pepe M, Lin DY, Benedetti F, Deeg HJ. Abnormalities of pulmonary function tests after marrow transplantation predict nonrelapse mortality. American Journal of Respiratory and Critical Care Medicine. 1995 Aug;152(2):690-695. doi: 10.1164/ajrccm.152.2.7633727. PMID: 7633727.


  1. Lin DY, Robins JM, Wei LJ. Comparing two failure time distributions in the presence of dependent censoring. Biometrika. 1996 Jun 1;83(2):381-393. doi: 10.1093/biomet/83.2.381.
  2. Lin DY, Shen L, Ying Z, Breslow NE. Group sequential designs for monitoring survival probabilities. Biometrics. 1996 Sep;52(3):1033-1041. doi: 10.2307/2533064. PMID: 8805766.
  3. Lin DY, Spiekerman CF. Model checking techniques for parametric regression with censored data. Scandinavian Journal of Statistics. 1996;23(2):157–177.
  4. Psaty BM, Siscovick DS, Weiss NS, Koepsell TD, Rosendaal FR, Lin DY, Heckbert SR, Wagner EH, Furberg CD. Hypertension and outcomes research. From clinical trials to clinical epidemiology. American Journal of Hypertension. 1996 Feb;9(2):178-83. doi: 10.1016/0895-7061(96)00015-5. PMID: 8924268.
  5. Spiekerman CF, Lin DYChecking the marginal Cox model for correlated failure time data. Biometrika. 1996 Mar 1;83(1):143-56. doi: 10.1093/biomet/83.1.143.
  6. Yip PS, Huggins RM, Lin DYInference for capture-recapture experiments in continuous time with variable capture rates. Biometrika. 1996 Jun 1;83(2):477-483. doi: 10.1093/biomet/83.2.477.


  1. Lin DY, Feuer EJ, Etzioni R, Wax Y. Estimating medical costs from incomplete follow-up data. Biometrics. 1997 Jun;53(2):419-434. doi: 10.2307/2533947. PMID: 9192444.
  2. Lin DY, Fleming TR, De Gruttola V. Estimating the proportion of treatment effect explained by a surrogate marker. Statistics in Medicine. 1997 Jul 15;16(13):1515-1527. doi: 10.1002/(sici)1097-0258(19970715)16:13<1515::aid-sim572>;2-1. PMID: 9249922.
  3. Lin DYNon-parametric inference for cumulative incidence functions in competing risks studies. Statistics in Medicine. 1997 Apr 30;16(8):901-910. doi: 10.1002/(sici)1097-0258(19970430)16:8<901::aid-sim543>;2-m. PMID: 9160487.
  4. De Gruttola V, Fleming T, Lin DY, Coombs R. Perspective: validating surrogate markers–are we being naive? Journal of Infectious Diseases. 1997 Feb;175(2):237-246. doi: 10.1093/infdis/175.2.237. PMID: 9203643.
  5. Deeg HJ, Lin DY, Leisenring W, Boeckh M, Anasetti C, Appelbaum FR, Chauncey TR, Doney K, Flowers M, Martin P, Nash R, Schoch G, Sullivan KM, Witherspoon RP, Storb R. Cyclosporine or cyclosporine plus methylprednisolone for prophylaxis of graft-versus-host disease: a prospective, randomized trial. Blood. 1997 May 15;89(10):3880-3887. doi: 10.1182/blood.V89.10.3880. PMID: 9160697.
  6. Heckbert SR, Weiss NS, Koepsell TD, Lemaitre RN, Smith NL, Siscovick DS, Lin DY, Psaty BM. Duration of estrogen replacement therapy in relation to the risk of incident myocardial infarction in postmenopausal women. Archives of Internal Medicine. 1997 Jun 23;157(12):1330-1336. doi: 10.1001/archinte.1997.00440330066007 PMID: 9201007.
  7. Schwartz SM, Siscovick DS, Longstreth WT Jr, Psaty BM, Beverly RK, Raghunathan TE, Lin DY, Koepsell TD. Use of low-dose oral contraceptives and stroke in young women. Annals of Internal Medicine. 1997 Oct 15;127(8 Pt 1):596-603. doi: 10.7326/0003-4819-127-8_part_1-199710150-00003. PMID: 9341057.


  1. Lin DY, Oakes D, Ying Z. Additive hazards regression with current status data. Biometrika. 1998 Jun 1;85(2):289-298. doi: 10.1093/biomet/85.2.289.
  2. Lin DY, Psaty BM, Kronmal RA. Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics. 1998 Sep;54(3):948-963. doi: 10.2307/2533848. PMID: 9750244.
  3. Lin DY, Wei LJ, Ying Z. Accelerated failure time models for counting processes. Biometrika. 1998 Sep 1;85(3):605-618. doi: 10.1093/biomet/85.3.605.
  4. Albert JM, Ioannidis JP, Reichelderfer P, Conway B, Coombs RW, Crane L, Demasi R, Dixon DO, Flandre P, Hughes MD, Kalish LA, Larntz K, Lin DY, Marschner IC, Muñoz A, Murray J, Neaton J, Pettinelli C, Rida W, Taylor JM, Welles SL. Statistical issues for HIV surrogate endpoints: point/counterpoint. An NIAID workshop. Statistics in Medicine. 1998 Nov 15;17(21):2435-2462. doi: 10.1002/(SICI)1097-0258(19981115)17:21<2435::AID-SIM994>3.0.CO;2-G. PMID: 9819838.
  5. Spiekerman CF, Lin DYMarginal regression models for multivariate failure time data. Journal of the American Statistical Association. 1998 Sep 1;93(443):1164-1175. doi: 10.1080/01621459.1998.10473777.


  1. Lin DY, Arbogast P, Siscovick DS, Lemaitre RN. Poisson regression with missing durations of exposure. Biometrics. 1999 Mar;55(1):252-257. doi: 10.1111/j.0006-341x.1999.00252.x. PMID: 11318163.
  2. Lin DY, Sun W, Ying Z. Nonparametric estimation of the gap time distribution for serial events with censored data. Biometrika. 1999 Mar 1;86(1):59-70. doi: 10.1093/biomet/86.1.59.
  3. Lin DY, Yao Q, Ying Z. A general theory on stochastic curtailment for censored survival data. Journal of the American Statistical Association. 1999 Jun 1;94(446):510-521. doi: 10.1080/01621459.1999.10474145.
  4. Lin DY, Yip PS. Parametric regression models for continuous time removal and recapture studies. Journal of the Royal Statistical Society Series B: Statistical Methodology. 1999 Jul;61(2):401-11. doi: 10.1111/1467-9868.00184.
  5. Diehr P, Yanez D, Ash A, Hornbrook M, Lin DYMethods for analyzing health care utilization and costs. Annual Review of Public Health. 1999;20:125-144. doi: 10.1146/annurev.publhealth.20.1.125. PMID: 10352853.
  6. Etzioni RD, Feuer EJ, Sullivan SD, Lin DY, Hu C, Ramsey SD. On the use of survival analysis techniques to estimate medical care costs. Journal of Health Economics. 1999 Jun;18(3):365-380. doi: 10.1016/s0167-6296(98)00056-3. PMID: 10537900.
  7. Fisher LD, Lin DYTime-dependent covariates in the Cox proportional-hazards regression model. Annual Review of Public Health. 1999;20:145-157. doi: 10.1146/annurev.publhealth.20.1.145. PMID: 10352854.
  8. Lemaitre RN, Siscovick DS, Raghunathan TE, Weinmann S, Arbogast P, Lin DYLeisure-time physical activity and the risk of primary cardiac arrest. Archives of Internal Medicine. 1999 Apr 12;159(7):686-690. doi: 10.1001/archinte.159.7.686. PMID: 10218747.
  9. Psaty BM, Koepsell TD, Lin DY, Weiss NS, Siscovick DS, Rosendaal FR, Pahor M, Furberg CD. Assessment and control for confounding by indication in observational studies. Journal of American Geriatrics Society. 1999 Jun;47(6):749-754. doi: 10.1111/j.1532-5415.1999.tb01603.x. PMID: 10366179.
  10. Psaty BM, Weiss NS, Furberg CD, Koepsell TD, Siscovick DS, Rosendaal FR, Smith NL, Heckbert SR, Kaplan RC, Lin DY, Fleming TR, Wagner EH. Surrogate end points, health outcomes, and the drug-approval process for the treatment of risk factors for cardiovascular disease. JAMA. 1999 Aug 25;282(8):786-790. doi: 10.1001/jama.282.8.786. PMID: 10463718.
  11. Yip PS, Zhou Y, Lin DY, Fang XZ. Estimation of population size based on additive hazards models for continuous-time recapture experiments. Biometrics. 1999 Sep;55(3):904-908. doi: 10.1111/j.0006-341x.1999.00904.x. PMID: 11315026.


  1. Lin DY, Wei LJ, Yang I, Ying Z. Semiparametric regression for the mean and rate functions of recurrent events. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2000;62(4):711-730. doi: 10.1111/1467-9868.00259.
  2. Lin DYLinear regression analysis of censored medical costs. Biostatistics. 2000 Mar;1(1):35-47. doi: 10.1093/biostatistics/1.1.35. PMID: 12933524.
  3. Lin DYOn fitting Cox’s proportional hazards models to survey data. Biometrika. 2000 Mar 1;87(1):37-47. doi: 10.1093/biomet/87.1.37.
  4. Lin DYProportional means regression for censored medical costs. Biometrics. 2000 Sep;56(3):775-778. doi: 10.1111/j.0006-341x.2000.00775.x. PMID: 10985215.
  5. Fleming TR, Lin DYSurvival analysis in clinical trials: past developments and future directions. Biometrics. 2000 Dec;56(4):971-983. doi: 10.1111/j.0006-341x.2000.0971.x. PMID: 11129494.
  6. Ghosh D, Lin DYNonparametric analysis of recurrent events and death. Biometrics. 2000 Jun;56(2):554-562. doi: 10.1111/j.0006-341x.2000.00554.x.
  7. Kulich M, Lin DYAdditive hazards regression for case-cohort studies. Biometrika. 2000 Mar 1;87(1):73-87. doi: 10.1093/biomet/87.1.73.
  8. Kulich M, Lin DYAdditive hazards regression with covariate measurement error. Journal of the American Statistical Association. 2000 Mar 1;95(449):238-248. doi: 10.1080/01621459.2000.10473917.
  9. Siscovick DS, Raghunathan TE, Lin DY, Weinmann S, Arbogast P, Lemaitre RN, Psaty BM, Alexander R, Cobb LA. Influenza vaccination and the risk of primary cardiac arrest. American Journal of Epidemiology. 2000 Oct 1;152(7):674-677. doi: 10.1093/aje/152.7.674. PMID: 11032163.


  1. Lin DY, Wei LJ, Ying Z. Semiparametric transformation models for point processes. Journal of the American Statistical Association. 2001 Jun 1;96(454):620-628. doi: 10.1198/016214501753168299.
  2. Lin DY, Ying Z. Nonparametric tests for the gap time distributions of serial events based on censored data. Biometrics. 2001 Jun;57(2):369-375. doi: 10.1111/j.0006-341x.2001.00369.x. PMID: 11414558.
  3. Lin DY, Ying Z. Semiparametric and nonparametric regression analysis of longitudinal data (with discussion). Journal of the American Statistical Association. 2001 Mar 1;96(453):103-126. doi: 10.1198/016214501750333018.
  4. Heckbert SR, Kaplan RC, Weiss NS, Psaty BM, Lin DY, Furberg CD, Starr JR, Anderson GD, LaCroix AZ. Risk of recurrent coronary events in relation to use and recent initiation of postmenopausal hormone therapy. Archives of Internal Medicine. 2001 Jul 23;161(14):1709-1713. doi: 10.1001/archinte.161.14.1709. PMID: 11485503.
  5. Rea TD, Heckbert SR, Kaplan RC, Psaty BM, Smith NL, Lemaitre RN, Lin DYBody mass index and the risk of recurrent coronary events following acute myocardial infarction. American Journal of Cardiology. 2001 Sep 1;88(5):467-472. doi: 10.1016/s0002-9149(01)01720-9. PMID: 11524051.
  6. Whitsel EA, Raghunathan TE, Pearce RM, Lin DY, Rautaharju PM, Lemaitre R, Siscovick DS. RR interval variation, the QT interval index and risk of primary cardiac arrest among patients without clinically recognized heart disease. European Heart Journal. 2001 Jan;22(2):165-173. doi: 10.1053/euhj.2000.2262.
  7. Willan AR, Lin DYIncremental net benefit in randomized clinical trials. Statistics in Medicine. 2001 Jun 15;20(11):1563-1574. doi: 10.1002/sim.789. PMID: 11391688.


  1. Lin DY, Wei LJ, Ying Z. Model-checking techniques based on cumulative residuals. Biometrics. 2002 Mar;58(1):1-12. doi: 10.1111/j.0006-341x.2002.00001.x. PMID: 11890304.
  2. Arbogast PG, Lin DY, Siscovick DS, Schwartz SM. Estimating incidence rates from population‐based case‐control studies in the presence of nonrespondents. Biometrical Journal. 2002 Mar;44(2):227-239. doi: 10.1002/1521-4036(200203)44:2<227::AID-BIMJ227>3.0.CO;2-B.
  3. Ghosh D, Lin DYMarginal regression models for recurrent and terminal events. Statistica Sinica. 2002;12(3):663–688.
  4. Hu C, Lin DYCox regression with covariate measurement error. Scandinavian Journal of Statistics. 2002 Dec;29(4):637-655. doi: 10.1111/1467-9469.00310.
  5. Lemaitre RN, Siscovick DS, Psaty BM, Pearce RM, Raghunathan TE, Whitsel EA, Weinmann SA, Anderson GD, Lin DYInhaled beta-2 adrenergic receptor agonists and primary cardiac arrest. American Journal of Medicine. 2002 Dec 15;113(9):711-716. doi: 10.1016/s0002-9343(02)01384-0. PMID: 12517359.
  6. Willan AR, Lin DY, Cook RJ, Chen EB. Using inverse-weighting in cost-effectiveness analysis with censored data. Statistical Methods in Medical Research. 2002 Dec;11(6):539-551. doi: 10.1191/0962280202sm308ra. PMID: 12516988.


  1. Lin DY, Ying Z. Semiparametric regression analysis of longitudinal data with informative drop-outs. Biostatistics. 2003 Jul;4(3):385-398. doi: 10.1093/biostatistics/4.3.385.
  2. Lin DYRegression analysis of incomplete medical cost data. Statistics in Medicine. 2003 Apr 15;22(7):1181-1200. doi: 10.1002/sim.1377. PMID: 12652561.
  3. Ghosh D, Lin DYSemiparametric analysis of recurrent events data in the presence of dependent censoring. Biometrics. 2003 Dec;59(4):877-885. doi: 10.1111/j.0006-341x.2003.00102.x. PMID: 14969466.
  4. Jin Z, Lin DY, Wei LJ, Ying Z. Rank‐based inference for the accelerated failure time model. Biometrika. 2003 Jun 1;90(2):341-53. doi: 10.1093/biomet/90.2.341.
  5. Rea TD, Siscovick DS, Psaty BM, Pearce RM, Raghunathan TE, Whitsel EA, Cobb LA, Weinmann S, Anderson GD, Arbogast P, Lin DYDigoxin therapy and the risk of primary cardiac arrest in patients with congestive heart failure: effect of mild-moderate renal impairment. Journal of Clinical Epidemiology. 2003 Jul;56(7):646-650. doi: 10.1016/s0895-4356(03)00075-1. PMID: 12921933.
  6. Willan AR, Chen EB, Cook RJ, Lin DYIncremental net benefit in randomized clinical trials with quality-adjusted survival. Statistics in Medicine. 2003 Feb 15;22(3):353-362. doi: 10.1002/sim.1347. PMID: 12529868.


  1. Lin DY, Zou F. Assessing genomewide statistical significance in linkage studies. Genetic Epidemiology. 2004 Nov;27(3):202-214. doi: 10.1002/gepi.20017. PMID: 15389929.
  2. Lin DYHaplotype-based association analysis in cohort studies of unrelated individuals. Genetic Epidemiology. 2004 May;26(4):255-264. doi: 10.1002/gepi.10317.
  3. Arbogast PG, Lin DYGoodness‐of‐fit methods for matched case‐control studies. Canadian Journal of Statistics. 2004 Dec;32(4):373-386. doi: 10.2307/3316022.
  4. Combes B, Luketic VA, Peters MG, Zetterman RK, Garcia-Tsao G, Munoz SJ, Lin DY, Flye N, Carithers RL Jr. Prolonged follow-up of patients in the U.S. multicenter trial of ursodeoxycholic acid for primary biliary cirrhosis. American Journal of Gastroenterology. 2004 Feb;99(2):264-268. doi: 10.1111/j.1572-0241.2004.04047.x. PMID: 15046215; PMCID: PMC3891562.
  5. Diao G, Lin DY, Zou F. Mapping quantitative trait loci with censored observations. Genetics. 2004 Nov;168(3):1689-1698. doi: 10.1534/genetics.103.023903. PMID: 15579717; PMCID: PMC1448809.
  6. Hu C, Lin DYSemiparametric failure time regression with replicates of mismeasured covariates. Journal of the American Statistical Association. 2004 Mar 1;99(465):105-118. doi: 10.1198/016214504000000197.
  7. Kulich M, Lin DYImproving the efficiency of relative-risk estimation in case-cohort studies. Journal of the American Statistical Association. 2004 Sep 1;99(467):832-844. doi: 10.1198/016214504000000584.
  8. Zou F, Fine JP, Hu J, Lin DYAn efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait Loci. Genetics. 2004 Dec;168(4):2307-2316. doi: 10.1534/genetics.104.031427. PMID: 15611194; PMCID: PMC1448705.


  1. Lin DY, Zeng D, Millikan R. Maximum likelihood estimation of haplotype effects and haplotype-environment interactions in association studies. Genetic Epidemiology. 2005 Dec;29(4):299-312. doi: 10.1002/gepi.20098. PMID: 16240443.
  2. Lin DYAn efficient Monte Carlo approach to assessing statistical significance in genomic studies. Bioinformatics. 2005 Mar;21(6):781-787. doi: 10.1093/bioinformatics/bti053. PMID: 15454414.
  3. Lin DYOn rapid stimulation of P values in association studies. American Journal of Human Genetics. 2005 Sep;77(3):513-514; author reply 514-515. doi: 10.1086/432817. PMID: 16187474; PMCID: PMC1226216.
  4. Arbogast PG, Lin DYModel-checking techniques for stratified case-control studies. Statistics in Medicine. 2005 Jan 30;24(2):229-247. doi: 10.1002/sim.1932.
  5. Diao G, Lin DYA powerful and robust method for mapping quantitative trait loci in general pedigrees. American Journal of Human Genetics. 2005 Jul;77(1):97-111. doi: 10.1086/431683. PMID: 15918154; PMCID: PMC1226198.
  6. Diao G, Lin DYSemiparametric methods for mapping quantitative trait loci with censored data. Biometrics. 2005 Sep;61(3):789-798. doi: 10.1111/j.1541-0420.2005.00346.x. PMID: 16135030.
  7. Pan Z, Lin DYGoodness-of-fit methods for generalized linear mixed models. Biometrics. 2005 Dec;61(4):1000-1009. doi: 10.1111/j.1541-0420.2005.00365.x. PMID: 16401273.
  8. Whitsel EA, Boyko EJ, Rautaharju PM, Raghunathan TE, Lin DY, Pearce RM, Weinmann SA, Siscovick DS. Electrocardiographic QT interval prolongation and risk of primary cardiac arrest in diabetic patients. Diabetes Care. 2005 Aug;28(8):2045-2047. doi: 10.2337/diacare.28.8.2045. PMID: 16043757.
  9. Willan AR, Lin DY, Manca A. Regression methods for cost-effectiveness analysis with censored data. Statistics in Medicine. 2005 Jan 15;24(1):131-145. doi: 10.1002/sim.1794. PMID: 15515137.
  10. Zeng D, Lin DY, Yin G. Maximum likelihood estimation for the proportional odds model with random effects. Journal of the American Statistical Association. 2005 Jun 1;100(470):470-483. doi: 10.1198/016214504000001420.
  11. Zeng D, Lin DYEstimating haplotype-disease associations with pooled genotype data. Genetic Epidemiology. 2005 Jan;28(1):70-82. doi: 10.1002/gepi.20040. PMID: 15558554.


  1. Lin DY, Zeng D. Likelihood-based inference on haplotype effects in genetic association studies (with discussion). Journal of the American Statistical Association. 2006 Mar 1;101(473):89-104. doi: 10.1198/016214505000000808.
  2. Lin DYEvaluating statistical significance in two-stage genomewide association studies. American Journal of Human Genetics. 2006 Mar;78(3):505-509. doi: 10.1086/500812. PMID: 16408254; PMCID: PMC1380293.
  3. Diao G, Lin DYImproving the power of association tests for quantitative traits in family studies. Genetic Epidemiology. 2006 May;30(4):301-313. doi: 10.1002/gepi.20145. PMID: 16607624.
  4. Diao G, Lin DYSemiparametric variance-component models for linkage and association analyses of censored trait data. Genetic Epidemiology. 2006 Nov;30(7):570-581. doi: 10.1002/gepi.20168. PMID: 16858699.
  5. Jin Z, Lin DY, Ying Z. On least-squares regression with censored data. Biometrika. 2006 Mar 1;93(1):147-61. doi: 10.1093/biomet/93.1.147.
  6. Jin Z, Lin DY, Ying Z. Rank regression analysis of multivariate failure time data based on marginal linear models. Scandinavian Journal of Statistics. 2006 Mar;33(1):1-23. doi: 10.1111/j.1467-9469.2005.00487.x.
  7. Lange LA, Carlson CS, Hindorff LA, Lange EM, Walston J, Durda JP, Cushman M, Bis JC, Zeng D, Lin DY, Kuller LH, Nickerson DA, Psaty BM, Tracy RP, Reiner AP. Association of polymorphisms in the CRP gene with circulating C-reactive protein levels and cardiovascular events. JAMA. 2006 Dec 13;296(22):2703-2711. doi: 10.1001/jama.296.22.2703.
  8. Zeng D, Lin DY, Avery CL, North KE, Bray MS. Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studies. Biostatistics. 2006 Jul;7(3):486-502. doi: 10.1093/biostatistics/kxj021. PMID: 16500923.
  9. Zeng D, Lin DYEfficient estimation of semiparametric transformation models for counting processes. Biometrika. 2006 Sep 1;93(3):627-640. doi: 10.1093/biomet/93.3.627.


  1. Lin DY, Huang BE. The use of inferred haplotypes in downstream analyses. American Journal of Human Genetics. 2007 Mar;80(3):577-579. doi: 10.1086/512201. PMID: 17380613; PMCID: PMC1821109.
  2. Lin DYOn the Breslow estimator. Lifetime Data Analysis. 2007 Dec;13(4):471-480. doi: 10.1007/s10985-007-9048-y. PMID: 17768681.
  3. Huang BE, Lin DYEfficient association mapping of quantitative trait loci with selective genotyping. American Journal of Human Genetics. 2007 Mar;80(3):567-576. doi: 10.1086/512727. PMID: 17273979; PMCID: PMC1821103.
  4. Huang BE, Amos CI, Lin DYDetecting haplotype effects in genomewide association studies. Genetic Epidemiology. 2007 Dec;31(8):803-812. doi: 10.1002/gepi.20242. PMID: 17549762.
  5. Zeng D, Lin DYEfficient estimation for the accelerated failure time model. Journal of the American Statistical Association. 2007 Dec 1;102(480):1387-1396. doi: 10.1198/016214507000001085.
  6. Zeng D, Lin DYMaximum likelihood estimation in semiparametric regression models with censored data (with discussion). Journal of the Royal Statistical Society Series B: Statistical Methodology. 2007 Sep;69(4):507-564. doi: 10.1111/j.1369-7412.2007.00606.x.
  7. Zeng D, Lin DYSemiparametric transformation models with random effects for recurrent events. Journal of the American Statistical Association. 2007 Mar 1;102(477):167-80. doi: 10.1198/016214506000001239.


  1. Lin DY, Hu Y, Huang BE. Simple and efficient analysis of disease association with missing genotype data. American Journal of Human Genetics. 2008 Feb;82(2):444-452. doi: 10.1016/j.ajhg.2007.11.004. PMID: 18252224; PMCID: PMC2427170.
  2. Johnson BA, Lin DY, Zeng D. Penalized estimating functions and variable selection in semiparametric regression models. Journal of the American Statistical Association. 2008 Jun 1;103(482):672-680. doi: 10.1198/016214508000000184. PMID: 20376193; PMCID: PMC2850080.
  3. Sullivan PF, Lin DY, Tzeng JY, van den Oord E, Perkins D, Stroup TS, Wagner M, Lee S, Wright FA, Zou F, Liu W, Downing AM, Lieberman J, Close SL. Genomewide association for schizophrenia in the CATIE study: results of stage 1. Molecular Psychiatry. 2008 Jun;13(6):570-584. doi: 10.1038/mp.2008.25. PMID: 18347602; PMCID: PMC3910086.
  4. Zeng D, Lin DY, Lin X. Semiparametric transformation models with random effects for clustered failure time data. Statistica Sinica. 2008 Jan 1;18(1):355-377. PMID: 19809573; PMCID: PMC2756664.
  5. Zeng D, Lin DYEfficient resampling methods for nonsmooth estimating functions. Biostatistics. 2008 Apr;9(2):355-363. doi: 10.1093/biostatistics/kxm034. PMID: 17925303; PMCID: PMC2673016.


  1. Lin DY, Sullivan PF. Meta-analysis of genome-wide association studies with overlapping subjects. American Journal of Human Genetics. 2009 Dec;85(6):862-872. doi: 10.1016/j.ajhg.2009.11.001. PMID: 20004761; PMCID: PMC2790578.
  2. Lin DY, Zeng D. Proper analysis of secondary phenotype data in case-control association studies. Genetic Epidemiology. 2009 Apr;33(3):256-265. doi: 10.1002/gepi.20377. PMID: 19051285; PMCID: PMC2684820.
  3. Joubert BR, Diao G, Lin DY, North KE, Franceschini N. Longitudinal age-dependent effect on systolic blood pressure. BMC Proceedings. 2009 Dec 15;3 Suppl 7(Suppl 7):S87. doi: 10.1186/1753-6561-3-s7-s87. PMID: 20018083; PMCID: PMC2795990.
  4. Sullivan PF, de Geus EJ, Willemsen G, James MR, Smit JH, …, Lin DY, …, Zitman FG, Martin NG, Wray NR, Boomsma DI, Penninx BW. Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Molecular Psychiatry. 2009 Apr;14(4):359-375. doi: 10.1038/mp.2008.125. PMID: 19065144; PMCID: PMC2717726.
  5. Yan Y, Hu Y, North KE, Franceschini N, Lin DYEvaluation of population impact of candidate polymorphisms for coronary heart disease in the Framingham Heart Study Offspring Cohort. BMC Proceedings. 2009 Dec 15;3 Suppl 7(Suppl 7):S118. doi: 10.1186/1753-6561-3-s7-s118. PMID: 20017983; PMCID: PMC2795890.
  6. Zeng D, Lin DYSemiparametric transformation models with random effects for joint analysis of recurrent and terminal events. Biometrics. 2009 Sep;65(3):746-752. doi: 10.1111/j.1541-0420.2008.01126.x. PMID: 18945267; PMCID: PMC3030128.


  1. Lin DY, Zeng D. Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data. Genetic Epidemiology. 2010 Jan;34(1):60-66. doi: 10.1002/gepi.20435. PMID: 19847795; PMCID: PMC3878085.
  2. Lin DY, Zeng D. On the relative efficiency of using summary statistics versus individual-level data in meta-analysis. Biometrika. 2010 Jun;97(2):321-332. doi: 10.1093/biomet/asq006. PMID: 23049122; PMCID: PMC3412575.
  3. Chen L, Lin DY, Zeng D. Attributable fraction functions for censored event times. Biometrika. 2010 Sep;97(3):713-726. doi: 10.1093/biomet/asq023. Epub 2010 May 28. PMID: 23956459; PMCID: PMC3744602.
  4. Diao G, Lin DYVariance-components methods for linkage and association analysis of ordinal traits in general pedigrees. Genetic Epidemiology. 2010 Apr;34(3):232-237. doi: 10.1002/gepi.20453. PMID: 19918762; PMCID: PMC3003595.
  5. Hu YJ, Lin DY, Zeng D. A general framework for studying genetic effects and gene-environment interactions with missing data. Biostatistics. 2010 Oct;11(4):583-598. doi: 10.1093/biostatistics/kxq015. PMID: 20348396; PMCID: PMC3294269.
  6. Hu YJ, Lin DYAnalysis of untyped SNPs: maximum likelihood and imputation methods. Genetic Epidemiology. 2010 Dec;34(8):803-815. doi: 10.1002/gepi.20527. PMID: 21104886; PMCID: PMC3030127.
  7. Tobacco and Genetics Consortium. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. Nature Genetics. 2010 May;42(5):441-447. doi: 10.1038/ng.571. PMID: 20418890; PMCID: PMC2914600.
  8. Zeng D, Lin DYA general asymptotic theory for maximum likelihood estimation in semiparametric regression models with censored data. Statistica Sinica. 2010 Apr;20(2):871-910. PMID: 20577580; PMCID: PMC2888521.


  1. Lin DY, Tang ZZ. A general framework for detecting disease associations with rare variants in sequencing studies. American Journal of Human Genetics. 2011 Sep 9;89(3):354-367. doi: 10.1016/j.ajhg.2011.07.015. PMID: 21885029; PMCID: PMC3169821.
  2. Lin DY, Zeng D. Correcting for population stratification in genomewide association studies. Journal of the American Statistical Association. 2011 Sep 1;106(495):997-1008. doi: 10.1198/jasa.2011.tm10294. PMID: 22467997; PMCID: PMC3314247.
  3. Avery CL, He Q, North KE, Ambite JL, Boerwinkle E, Fornage M, Hindorff LA, Kooperberg C, Meigs JB, Pankow JS, Pendergrass SA, Psaty BM, Ritchie MD, Rotter JI, Taylor KD, Wilkens LR, Heiss G, Lin DYA phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. PLoS Genetics. 2011 Oct;7(10):e1002322. doi: 10.1371/journal.pgen.1002322. PMID: 22022282; PMCID: PMC3192835.
  4. Franceschini N, Carty C, Bůzková P, Reiner AP, Garrett T, …, Lin DY, …, Young AM, Deelman E, Kooperberg C, Psaty B, Heiss G. Association of genetic variants and incident coronary heart disease in multiethnic cohorts: the PAGE study. Circulation: Cardiovascular Genetics. 2011 Dec;4(6):661-672. doi: 10.1161/CIRCGENETICS.111.960096. PMID: 22042884; PMCID: PMC3293207.
  5. He Q, Lin DYA variable selection method for genome-wide association studies. Bioinformatics. 2011 Jan 1;27(1):1-8. doi: 10.1093/bioinformatics/btq600. PMID: 21036813; PMCID: PMC3025714.
  6. Liu Y, Blackwood DH, Caesar S, de Geus EJ, Farmer A, …, Lin DY, …, Penninx BW, Purcell S, Sklar P, Sullivan PF; Wellcome Trust Case-Control Consortium. Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder. Molecular Psychiatry. 2011 Jan;16(1):2-4. doi: 10.1038/mp.2009.107. PMID: 20351715; PMCID: PMC3883627.
  7. Nyante SJ, Gammon MD, Kaufman JS, Bensen JT, Lin DY, Barnholtz-Sloan JS, Hu Y, He Q, Luo J, Millikan RC. Common genetic variation in adiponectin, leptin, and leptin receptor and association with breast cancer subtypes. Breast Cancer Research and Treatment. 2011 Sep;129(2):593-606. doi: 10.1007/s10549-011-1517-z. PMID: 21516303; PMCID: PMC3355661.
  8. Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Genetics. 2011 Sep 18;43(10):977-983. doi: 10.1038/ng.943. PMID: 21926972; PMCID: PMC3637176.
  9. Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genetics. 2011 Sep 18;43(10):969-976. doi: 10.1038/ng.940. PMID: 21926974; PMCID: PMC3303194.


  1. Avery CL, Sethupathy P, Buyske S, He Q, Lin DY, Arking DE, Carty CL, Duggan D, Fesinmeyer MD, Hindorff LA, Jeff JM, Klein L, Patton KK, Peters U, Shohet RV, Sotoodehnia N, Young AM, Kooperberg C, Haiman CA, Mohlke KL, Whitsel EA, North KE. Fine-mapping and initial characterization of QT interval loci in African Americans. PLoS Genetics. 2012;8(8):e1002870. doi: 10.1371/journal.pgen.1002870. PMID: 22912591; PMCID: PMC3415454.
  2. Chen L, Lin DY, Zeng D. Checking semiparametric transformation models with censored data. Biostatistics. 2012 Jan;13(1):18-31. doi: 10.1093/biostatistics/kxr017. PMID: 21785165; PMCID: PMC3276276.
  3. Chen L, Lin DY, Zeng D. Predictive accuracy of covariates for event times. Biometrika. 2012 Sep;99(3):615-630. doi: 10.1093/biomet/ass018. PMID: 23843671; PMCID: PMC3635702.


  1. Lin DY, Zeng D, Tang ZZ. Quantitative trait analysis in sequencing studies under trait-dependent sampling. PNAS. 2013 Jul 23;110(30):12247-12252. doi: 10.1073/pnas.1221713110. PMID: 23847208; PMCID: PMC3725118.
  2. Lin DYAn overview of Ross Prentice’s contributions to statistical science. Statistics in Biosciences. 2013 Nov 1;5(2):224-231. doi: 10.1007/s12561-013-9095-8. PMID: 24223073; PMCID: PMC3821774.
  3. Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, …, Lin DY, …, McCarthy MI, Speliotes EK, North KE, Loos RJ, Ingelsson E. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics. 2013 May;45(5):501-512. doi: 10.1038/ng.2606. PMID: 23563607; PMCID: PMC3973018.
  4. Cross-Disorder Group of the Psychiatric Genomics Consortium; Lee SH, Ripke S, Neale BM, Faraone SV, …, Lin DY, …, Sullivan PF, Smoller JW, Kendler KS, Wray NR; International Inflammatory Bowel Disease Genetics Consortium (IIBDGC). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics. 2013 Sep;45(9):984-994. doi: 10.1038/ng.2711. PMID: 23933821; PMCID: PMC3800159.
  5. He Q, Avery CL, Lin DYA general framework for association tests with multivariate traits in large-scale genomics studies. Genetic Epidemiology. 2013 Dec;37(8):759-767. doi: 10.1002/gepi.21759. PMID: 24227293; PMCID: PMC3926135.
  6. Hu YJ, Berndt SI, Gustafsson S, Ganna A; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Hirschhorn J, North KE, Ingelsson E, Lin DYMeta-analysis of gene-level associations for rare variants based on single-variant statistics. American Journal of Human Genetics. 2013 Aug 8;93(2):236-248. doi: 10.1016/j.ajhg.2013.06.011. PMID: 23891470; PMCID: PMC3738834.
  7. Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium; Ripke S, Wray NR, Lewis CM, Hamilton SP, …, Lin DY, …, Zitman FG, Neale B, Daly M, Levinson DF, Sullivan PF. A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry. 2013 Apr;18(4):497-511. doi: 10.1038/mp.2012.21. PMID: 22472876; PMCID: PMC3837431.
  8. Tang ZZ, Lin DYMASS: meta-analysis of score statistics for sequencing studies. Bioinformatics. 2013 Jul 15;29(14):1803-1805. doi: 10.1093/bioinformatics/btt280. PMID: 23698861; PMCID: PMC3702254.


  1. Lin DY, Tao R, Kalsbeek WD, Zeng D, Gonzalez F 2nd, Fernández-Rhodes L, Graff M, Koch GG, North KE, Heiss G. Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos. American Journal of Human Genetics. 2014 Dec 4;95(6):675-88. doi: 10.1016/j.ajhg.2014.11.005. PMID: 25480034; PMCID: PMC4259979.
  2. Lin DYSurvival analysis with incomplete genetic data. Lifetime Data Analysis. 2014 Jan;20(1):16-22. doi: 10.1007/s10985-013-9262-8. PMID: 23722305; PMCID: PMC3806886.
  3. Franceschini N, Hu Y, Reiner AP, Buyske S, Nalls M, …, Lin DY, …, Becker DM, O’Donnell C, Heiss G, Kooperberg C, Boerwinkle E. Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study. PLoS One. 2014 Dec 26;9(12):e113203. doi: 10.1371/journal.pone.0113203. PMID: 25542012; PMCID: PMC4277270.
  4. Hu YJ, Lin DY, Sun W, Zeng D. A likelihood-based framework for association analysis of allele-specific copy numbers. Journal of the American Statistical Association. 2014 Oct;109(508):1533-1545. doi: 10.1080/01621459.2014.908777. PMID: 25663726; PMCID: PMC4315366.
  5. Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, …, Lin DY, …, Abecasis GR, Rich SS, Tracy RP, Willer CJ; NHLBI Grand Opportunity Exome Sequencing Project. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. American Journal of Human Genetics. 2014 Feb 6;94(2):233-245. doi: 10.1016/j.ajhg.2014.01.010. PMID: 24507775; PMCID: PMC3928660.
  6. Myocardial Infarction Genetics Consortium Investigators; Stitziel NO, Won HH, Morrison AC, Peloso GM, …, Lin DY, …, Gibbs RA, Lander ES, Boerwinkle E, Gabriel S, Kathiresan S. Inactivating mutations in NPC1L1 and protection from coronary heart disease. New England Journal of Medicine. 2014 Nov 27;371(22):2072-2082. doi: 10.1056/NEJMoa1405386. PMID: 25390462; PMCID: PMC4335708.
  7. Tang ZZ, Lin DYMeta-analysis of sequencing studies with heterogeneous genetic associations. Genetic Epidemiology. 2014 Jul;38(5):389-401. doi: 10.1002/gepi.21798. PMID: 24799183; PMCID: PMC4157393.
  8. TG and HDL Working Group of the Exome Sequencing Project, National Heart, Lung, and Blood Institute; Crosby J, Peloso GM, Auer PL, Crosslin DR, …, Lin DY, …, Jarvik GP, Cupples LA, Reiner AP, Boerwinkle E, Kathiresan S. Loss-of-function mutations in APOC3, triglycerides, and coronary disease. New England Journal of Medicine. 2014 Jul 3;371(1):22-31. doi: 10.1056/NEJMoa1307095. PMID: 24941081; PMCID: PMC4180269.
  9. Zeng D, Lin DYEfficient estimation of semiparametric transformation models for two-phase cohort studies. Journal of the American Statistical Association. 2014 Jan 1;109(505):371-383. doi: 10.1080/01621459.2013.842172. PMID: 24659837; PMCID: PMC3960088.


  1. Arloth J, Bogdan R, Weber P, Frishman G, Menke A, Wagner KV, Balsevich G, Schmidt MV, Karbalai N, Czamara D, Altmann A, Trümbach D, Wurst W, Mehta D, Uhr M, Klengel T, Erhardt A, Carey CE, Conley ED; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC); Ruepp A, Müller-Myhsok B, Hariri AR, Binder EB. Genetic differences in the immediate transcriptome response to stress predict risk-related brain function and psychiatric disorders. Neuron. 2015 Jun 3;86(5):1189-1202. doi: 10.1016/j.neuron.2015.05.034. PMID: 26050039; PMCID: PMC4490780.
  2. Hu YJ, Li Y, Auer PL, Lin DYIntegrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations. PNAS. 2015 Jan 27;112(4):1019-1024. doi: 10.1073/pnas.1406143112. PMID: 25583502; PMCID: PMC4313847.
  3. Lee SH, Byrne EM, Hultman CM, Kähler A, Vinkhuyzen AA, …, Lin DY, …, Klareskog L, Mariette X, Plenge RM, van Laar M, van Riel P. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis. International Journal of Epidemiology. 2015 Oct;44(5):1706-1721. doi: 10.1093/ije/dyv136. PMID: 26286434; PMCID: PMC4881824.
  4. Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature Neuroscience. 2015 Feb;18(2):199-209. doi: 10.1038/nn.3922. PMID: 25599223; PMCID: PMC4378867.
  5. Nyante SJ, Gammon MD, Kaufman JS, Bensen JT, Lin DY, Barnholtz-Sloan JS, Hu Y, He Q, Luo J, Millikan RC. Genetic variation in estrogen and progesterone pathway genes and breast cancer risk: an exploration of tumor subtype-specific effects. Cancer Causes & Control . 2015 Jan;26(1):121-131. doi: 10.1007/s10552-014-0491-2. PMID: 25421376; PMCID: PMC4291841.
  6. Tang ZZ, Lin DYMeta-analysis for discovering rare-variant associations: statistical methods and software programs. American Journal of Human Genetics. 2015 Jul 2;97(1):35-53. doi: 10.1016/j.ajhg.2015.05.001. PMID: 26094574; PMCID: PMC4571037.
  7. Tao R, Zeng D, Franceschini N, North KE, Boerwinkle E, Lin DYAnalysis of sequence data under multivariate trait-dependent sampling. Journal of the American Statistical Association. 2015 Jun 1;110(510):560-572. doi: 10.1080/01621459.2015.1008099. PMID: 26366025; PMCID: PMC4565625.
  8. Zeng D, Lin DYOn random-effects meta-analysis. Biometrika. 2015 Jun;102(2):281-294. doi: 10.1093/biomet/asv011. PMID: 26688589; PMCID: PMC4681410.


  1. Lin DY, Dai L, Cheng G, Sailer MO. On confidence intervals for the hazard ratio in randomized clinical trials. Biometrics. 2016 Dec;72(4):1098-1102. doi: 10.1111/biom.12528. PMID: 27123760; PMCID: PMC5085885.
  2. Lin DY, Gong J, Gallo P, Bunn PH, Couper D. Simultaneous inference on treatment effects in survival studies with factorial designs. Biometrics. 2016 Dec;72(4):1078-1085. doi: 10.1111/biom.12507. PMID: 26991149; PMCID: PMC5026867.
  3. Avery CL, Holliday KM, Chakladar S, Engeda JC, Hardy ST, Reis JP, Schreiner PJ, Shay CM, Daviglus ML, Heiss G, Lin DY, Zeng D. Disparities in early transitions to obesity in contemporary multi-ethnic U.S. populations. PLoS One. 2016 Jun 27;11(6):e0158025. doi: 10.1371/journal.pone.0158025. PMID: 27348868; PMCID: PMC4922630.
  4. He Q, Zhang HH, Avery CL, Lin DYSparse meta-analysis with high-dimensional data. Biostatistics. 2016 Apr;17(2):205-220. doi: 10.1093/biostatistics/kxv038. PMID: 26395907; PMCID: PMC4834947.
  5. Kan M, Auer PL, Wang GT, Bucasas KL, Hooker S, …, Lin DY, …, North KE, Lange LA, Reiner AP; NHLBI-Exome Sequencing Project; Leal SM. Rare variant associations with waist-to-hip ratio in European-American and African-American women from the NHLBI-Exome Sequencing Project. European Journal of Human Genetics. 2016 Aug;24(8):1181-1187. doi: 10.1038/ejhg.2015.272. PMID: 26757982; PMCID: PMC4970686.
  6. Mao L, Lin DYSemiparametric regression for the weighted composite endpoint of recurrent and terminal events. Biostatistics. 2016 Apr;17(2):390-403. doi: 10.1093/biostatistics/kxv050. PMID: 26668069; PMCID: PMC4804115.
  7. Yu B, Pulit SL, Hwang SJ, Brody JA, Amin N, …, Lin DY, …, Psaty BM, Levy D, Newton-Cheh C, Morrison AC; CHARGE Consortium and the National Heart, Lung, and Blood Institute GO ESPRare exome sequence variants in clcn6 reduce blood pressure levels and hypertension risk. Circulation: Cardiovascular Genetics.* 2016 Feb;9(1):64-70. doi: 10.1161/CIRCGENETICS.115.001215. PMID: 26658788; PMCID: PMC4771070.
  8. Zeng D, Mao L, Lin DYMaximum likelihood estimation for semiparametric transformation models with interval-censored data. Biometrika. 2016 Jun;103(2):253-271. doi: 10.1093/biomet/asw013. PMID: 27279656; PMCID: PMC4890294.
  9. Zubair N, Graff M, Luis Ambite J, Bush WS, Kichaev G, …, Lin DY, …, Rich SS, Fornage M, North KE, Kooperberg C, Carty CL. Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci. Human Molecular Genetics. 2016 Dec 15;25(24):5500-5512. doi: 10.1093/hmg/ddw358. PMID: 28426890; PMCID: PMC5721937.


  1. Avery CL, Wassel CL, Richard MA, Highland HM, Bien S, …, Lin DY, …, Peters U, Haiman CA, Crawford DC, Kooperberg C, North KE. Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations. Heart Rhythm. 2017 Apr;14(4):572-580. doi: 10.1016/j.hrthm.2016.12.021. PMID: 27988371; PMCID: PMC5448160.
  2. Gao F, Zeng D, Lin DYSemiparametric estimation of the accelerated failure time model with partly interval-censored data. Biometrics. 2017 Dec;73(4):1161-1168. doi: 10.1111/biom.12700. PMID: 28444688; PMCID: PMC5785785.
  3. Hardy ST, Holliday KM, Chakladar S, Engeda JC, Allen NB, Heiss G, Lloyd-Jones DM, Schreiner PJ, Shay CM, Lin DY, Zeng D, Avery CL. Heterogeneity in blood pressure transitions over the life course: age-specific emergence of racial/ethnic and sex disparities in the United States. JAMA Cardiology. 2017 Jun 1;2(6):653-661. doi: 10.1001/jamacardio.2017.0652. PMID: 28423153; PMCID: PMC5634332.
  4. Holliday KM, Lin DY, Chakladar S, Castañeda SF, Daviglus ML, Evenson KR, Marquez DX, Qi Q, Shay CM, Sotres-Alvarez D, Vidot DC, Zeng D, Avery CL. Targeting physical activity interventions for adults: When should intervention occur? Preventive Medicine. 2017 Apr;97:13-18. doi: 10.1016/j.ypmed.2016.12.036. PMID: 28024863; PMCID: PMC5337155.
  5. Mao L, Lin DY, Zeng D. Semiparametric regression analysis of interval-censored competing risks data. Biometrics. 2017 Sep;73(3):857-865. doi: 10.1111/biom.12664. PMID: 28211951; PMCID: PMC5561531.
  6. Mao L, Lin DYEfficient estimation of semiparametric transformation models for the cumulative incidence of competing risks. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2017 Mar;79(2):573-587. doi: 10.1111/rssb.12177. PMID: 28239261; PMCID: PMC5319638.
  7. Tang ZZ, Bunn P, Tao R, Liu Z, Lin DYPreMeta: a tool to facilitate meta-analysis of rare-variant associations. BMC Genomics. 2017 Feb 14;18(1):160. doi: 10.1186/s12864-017-3573-1. PMID: 28196472; PMCID: PMC5310051.
  8. Tao R, Zeng D, Lin DYEfficient semiparametric inference under two-phase sampling, with applications to genetic association studies. Journal of the American Statistical Association. 2017;112(520):1468-1476. doi: 10.1080/01621459.2017.1295864. PMID: 29479125; PMCID: PMC5823539.
  9. Zeng D, Gao F, Lin DYMaximum likelihood estimation for semiparametric regression models with multivariate interval-censored data. Biometrika. 2017 Sep;104(3):505-525. doi: 10.1093/biomet/asx029. PMID: 29391606; PMCID: PMC5787874.


  1. Engeda JC, Holliday KM, Hardy ST, Chakladar S, Lin DY, Talavera GA, Howard BV, Daviglus ML, Pirzada A, Schreiner PJ, Zeng D, Avery CL. Transitions from ideal to intermediate cholesterol levels may vary by cholesterol metric. Scientific Reports. 2018 Feb 9;8(1):2782. doi: 10.1038/s41598-018-20660-2. PMID: 29426885; PMCID: PMC5807429.
  2. Gao F, Zeng D, Lin DYSemiparametric regression analysis of interval-censored data with informative dropout. Biometrics. 2018 Dec;74(4):1213-1222. doi: 10.1111/biom.12911. PMID: 29870067; PMCID: PMC6309250.
  3. Gong J, Nishimura KK, Fernandez-Rhodes L, Haessler J, Bien S, …, Lin DY, …, Loos RJF, Le Marchand L, Matise TC, North KE, Peters U. Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI. International Journal of Obesity. 2018 Mar;42(3):384-390. doi: 10.1038/ijo.2017.304. PMID: 29381148; PMCID: PMC5876082.
  4. Jo Hodonsky C, Schurmann C, Schick UM, Kocarnik J, Tao R, van Rooij FJ, Wassel C, Buyske S, Fornage M, Hindorff LA, Floyd JS, Ganesh SK, Lin DY, North KE, Reiner AP, Loos RJ, Kooperberg C, Avery CL. Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. American Journal of Hematology. 2018;93(8):1061-1073. doi: 10.1002/ajh.25161. PMID: 29905378; PMCID: PMC6300146.
  5. Sun W, Bunn P, Jin C, Little P, Zhabotynsky V, Perou CM, Hayes DN, Chen M, Lin DYThe association between copy number aberration, DNA methylation and gene expression in tumor samples. Nucleic Acids Research. 2018 Apr 6;46(6):3009-3018. doi: 10.1093/nar/gky131. PMID: 29529299; PMCID: PMC5887505.
  6. Wong KY, Zeng D, Lin DYEfficient estimation for semiparametric structural equation models with censored data. Journal of the American Statistical Association. 2018;113(522):893-905. doi: 10.1080/01621459.2017.1299626. PMID: 30083023; PMCID: PMC6075718.
  7. Zeng D, Pan J, Hu K, Chi E, Lin DYImproving the power to establish clinical similarity in a Phase 3 efficacy trial by incorporating prior evidence of analytical and pharmacokinetic similarity. Journal of Biopharmaceutical Statistics. 2018;28(2):320-332. doi: 10.1080/10543406.2017.1397012. PMID: 29173074; PMCID: PMC5909990.


  1. Lin DYA simple and accurate method to determine genomewide significance for association tests in sequencing studies. Genetic Epidemiology. 2019 Jun;43(4):365-372. doi: 10.1002/gepi.22183. PMID: 30623491; PMCID: PMC6520182.
  2. Deng Q, Bai X, Liu D, Roy D, Ying Z, Lin DYPower and sample size for dose-finding studies with survival endpoints under model uncertainty. Biometrics. 2019 Mar;75(1):308-314. doi: 10.1111/biom.12968. PMID: 30203467; PMCID: PMC6411454.
  3. Gao F, Zeng D, Couper D, Lin DYSemiparametric regression analysis of multiple right- and interval-censored events. Journal of the American Statistical Association. 2019;114(527):1232-1240. doi: 10.1080/01621459.2018.1482756. PMID: 31588157; PMCID: PMC6777710.
  4. Lin BM, Nadkarni GN, Tao R, Graff M, Fornage M, Buyske S, Matise TC, Highland HM, Wilkens LR, Carlson CS, Park SL, Setiawan VW, Ambite JL, Heiss G, Boerwinkle E, Lin DY, Morris AP, Loos RJF, Kooperberg C, North KE, Wassel CL, Franceschini N. Genetics of chronic kidney disease stages across ancestries: the PAGE study. Frontiers in Genetics. 2019 May 24;10:494. doi: 10.3389/fgene.2019.00494. PMID: 31178898; PMCID: PMC6544117.
  5. Little P, Lin DY, Sun W. Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time. Genome Medicine. 2019 May 28;11(1):37. doi: 10.1186/s13073-019-0643-9. PMID: 31138328; PMCID: PMC6540540.
  6. Palace J, Lin DY, Zeng D, Majed M, Elsone L, Hamid S, Messina S, Misu T, Sagen J, Whittam D, Takai Y, Leite MI, Weinshenker B, Cabre P, Jacob A, Nakashima I, Fujihara K, Pittock SJ. Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders. Brain. 2019 May 1;142(5):1310-1323. doi: 10.1093/brain/awz054. PMID: 30938427; PMCID: PMC6487334.
  7. Raulerson CK, Ko A, Kidd JC, Currin KW, Brotman SM, …, Lin DY, Love MI, Laakso M, Pajukanta P, Mohlke KL. Adipose tissue gene expression associations reveal hundreds of candidate genes for cardiometabolic traits. American Journal of Human Genetics. 2019 Oct 3;105(4):773-787. doi: 10.1016/j.ajhg.2019.09.001. PMID: 31564431; PMCID: PMC6817527.
  8. Wojcik GL, Graff M, Nishimura KK, Tao R, Haessler J, …, Lin DY, …, Matise TC, North KE, Peters U, Kenny EE, Carlson CS. Genetic analyses of diverse populations improves discovery for complex traits. Nature. 2019 Jun;570(7762):514-518. doi: 10.1038/s41586-019-1310-4. PMID: 31217584; PMCID: PMC6785182.
  9. Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms. Genome Biology. 2019 Mar 7;20(1):52. doi: 10.1186/s13059-019-1640-4. PMID: 30845957; PMCID: PMC6404283.
  10. Wong KY, Zeng D, Lin DYRobust score tests with missing data in genomics studies. Journal of the American Statistical Association. 2019;114(528):1778-1786. doi: 10.1080/01621459.2018.1514304. PMID: 31920211; PMCID: PMC6951249.


  1. Lin DY, Zeng D, Couper D. A general framework for integrative analysis of incomplete multiomics data. Genetic Epidemiology. 2020 Oct;44(7):646-664. doi: 10.1002/gepi.22328. PMID: 32691502; PMCID: PMC7951090.
  2. Diao G, Lin DYStatistically efficient association analysis of quantitative traits with haplotypes and untyped SNPs in family studies. BMC Genetics. 2020 Sep 7;21(1):99. doi: 10.1186/s12863-020-00902-x. PMID: 32894040; PMCID: PMC7487716.
  3. Hodonsky CJ, Baldassari AR, Bien SA, Raffield LM, Highland HM, Sitlani CM, Wojcik GL, Tao R, Graff M, Tang W, Thyagarajan B, Buyske S, Fornage M, Hindorff LA, Li Y, Lin DY, Reiner AP, North KE, Loos RJF, Kooperberg C, Avery CL. Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics. BMC Genomics. 2020 Mar 14;21(1):228. doi: 10.1186/s12864-020-6626-9. PMID: 32171239; PMCID: PMC7071748.
  4. McCabe SD, Lin DY, Love MI. Consistency and overfitting of multi-omics methods on experimental data. Briefings in Bioinformatics. 2020 Jul 15;21(4):1277-1284. doi: 10.1093/bib/bbz070. PMID: 31281919; PMCID: PMC7373174.
  5. Tao R, Zeng D, Lin DYOptimal designs of two-phase studies. Journal of the American Statistical Association. 2020;115(532):1946-1959. doi: 10.1080/01621459.2019.1671200. PMID: 33716361; PMCID: PMC7954143.
  6. Wang R, Lin DY, Jiang Y. SCOPE: a normalization and copy-number estimation method for single-cell DNA sequencing. Cell Systems. 2020 May 20;10(5):445-452.e6. doi: 10.1016/j.cels.2020.03.005. PMID: 32437686; PMCID: PMC7250054.
  7. Zeng D, Pan Z, Lin DYDesign and analysis of bridging studies with prior probabilities on the null and alternative hypotheses. Biometrics. 2020 Mar;76(1):224-234. doi: 10.1111/biom.13175. PMID: 31724739; PMCID: PMC7983026.


  1. Lin DY, Zeng D, Eron JJ. Evaluating the efficacy of therapies in patients with coronavirus disease 2019. Clinical Infectious Diseases. 2021 Mar 15;72(6):1093-1100. doi: 10.1093/cid/ciaa1231. PMID: 32818962; PMCID: PMC7454372.
  2. Lin DY, Zeng D, Gilbert PB. Evaluating the long-term efficacy of coronavirus disease 2019 (COVID-19) vaccines. Clinical Infectious Diseases. 2021 Nov 16;73(10):1927-1939. doi: 10.1093/cid/ciab226. PMID: 33693529; PMCID: PMC7989522.
  3. Lin DY, Zeng D, Mehrotra DV, Corey L, Gilbert PB. Evaluating the efficacy of coronavirus disease 2019 vaccines. Clinical Infectious Diseases. 2021 Oct 20;73(8):1540-1544. doi: 10.1093/cid/ciaa1863. PMID: 33340397; PMCID: PMC7799296.
  4. Hu Y, Bien SA, Nishimura KK, Haessler J, Hodonsky CJ, …, Lin DY, …, Loos RJF, Raffield LM, Peters U, Avery CL, Kooperberg C. Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study. BMC Genomics. 2021 Jun 9;22(1):432. doi: 10.1186/s12864-021-07745-5. PMID: 34107879; PMCID: PMC8191001.
  5. Jin C, Chen M, Lin DY, Sun W. Cell type-aware analysis of RNA-seq data. Nature Computational Science. 2021 Apr;1(4):253-261. doi: 10.1038/s43588-021-00055-6. PMID: 34957416; PMCID: PMC8697413.
  6. Lin BM, Grinde KE, Brody JA, Breeze CE, Raffield LM, …, Lin DY, Browning SR, Franceschini N. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. EBioMedicine. 2021 Jan;63:103157. doi: 10.1016/j.ebiom.2020.103157. PMID: 33418499; PMCID: PMC7804602.
  7. Raffield LM, Howard AG, Graff M, Lin DY, Cheng S, Demerath E, Ndumele C, Palta P, Rebholz CM, Seidelmann S, Yu B, Gordon-Larsen P, North KE, Avery CL. Obesity duration, severity, and distribution trajectories and cardiovascular disease risk in the Atherosclerosis Risk in Communities study. Journal of American Heart Association. 2021 Dec 21;10(24):e019946. doi: 10.1161/JAHA.121.019946. PMID: 34889111; PMCID: PMC9075238.
  8. Zeng BD, Lin DYMaximum likelihood estimation for semiparametric regression models with panel count data. Biometrika. 2021 Dec;108(4):947-963. doi: 10.1093/biomet/asaa091. PMID: 34949875; PMCID: PMC8691743.


  1. Lin DY, Baden LR, El Sahly HM, Essink B, Neuzil KM, Corey L, Miller J; COVE Study Group. Durability of protection against symptomatic COVID-19 among participants of the mRNA-1273 SARS-CoV-2 vaccine trial. JAMA Network Open. 2022 Jun 1;5(6):e2215984. doi: 10.1001/jamanetworkopen.2022.15984. PMID: 35675078; PMCID: PMC9178430.
  2. Lin DY, Gu Y, Wheeler B, Young H, Holloway S, Sunny SK, Moore Z, Zeng D. Effectiveness of Covid-19 vaccines over a 9-month period in North Carolina. New England Journal of Medicine. 2022 Mar 10;386(10):933-941. doi: 10.1056/NEJMoa2117128. PMID: 35020982; PMCID: PMC8781317.
  3. Lin DY, Gu Y, Xu Y, Wheeler B, Young H, Sunny SK, Moore Z, Zeng D. Association of primary and booster vaccination and prior infection with SARS-CoV-2 infection and severe COVID-19 outcomes. JAMA. 2022 Oct 11;328(14):1415-1426. doi: 10.1001/jama.2022.17876. PMID: 36155617; PMCID: PMC9513711.
  4. Lin DY, Gu Y, Xu Y, Zeng D, Wheeler B, Young H, Sunny SK, Moore Z. Effects of vaccination and previous infection on omicron infections in children. New England Journal of Medicine. 2022 Sep 22;387(12):1141-1143. doi: 10.1056/NEJMc2209371. PMID: 36069811; PMCID: PMC9511630.
  5. Lin DY, Gu Y, Zeng D, Janes HE, Gilbert PB. Evaluating vaccine efficacy against severe acute respiratory syndrome coronavirus 2 infection. Clinical Infectious Diseases. 2022 Feb 11;74(3):544-552. doi: 10.1093/cid/ciab630. PMID: 34260716; PMCID: PMC8406869.
  6. Lin DY, Zeng D, Gu Y, Krause PR, Fleming TR. Reliably assessing duration of protection for coronavirus disease 2019 vaccines. Journal of Infectious Diseases. 2022 Nov 28;226(11):1863-1866. doi: 10.1093/infdis/jiac139. PMID: 35445269; PMCID: PMC9383791.
  7. Highland HM, Wojcik GL, Graff M, Nishimura KK, Hodonsky CJ, …, Lin DY, …, Loos RJ, Peters U, Young KL, Bien SA, Huckins LM. Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits. American Journal of Human Genetics. 2022 Apr 7;109(4):669-679. doi: 10.1016/j.ajhg.2022.02.013. PMID: 35263625; PMCID: PMC9069067.
  8. Quintanilha JCF, Racioppi A, Wang J, Etheridge AS, Denning S, Peña CE, Skol AD, Crona DJ, Lin DY, Innocenti F. PIK3R5 genetic predictors of hypertension induced by VEGF-pathway inhibitors. Pharmacogenomics Journal. 2022 Feb;22(1):82-88. doi: 10.1038/s41397-021-00261-5. PMID: 34775477; PMCID: PMC8799524.
  9. Quintanilha JCF, Wang J, Sibley AB, Xu W, Espin-Garcia O, Jiang C, Etheridge AS, Ratain MJ, Lenz HJ, Bertagnolli M, Kindler HL, Dickler MN, Venook A, Liu G, Owzar K, Lin DY, Innocenti F. Genome-wide association studies of survival in 1520 cancer patients treated with bevacizumab-containing regimens. International Journal of Cancer. 2022 Jan 15;150(2):279-289. doi: 10.1002/ijc.33810. PMID: 34528705; PMCID: PMC8627468.
  10. Wang J, Zeng D, Lin DYSemiparametric single-index models for optimal treatment regimens with censored outcomes. Lifetime Data Analysis. 2022 Oct;28(4):744-763. doi: 10.1007/s10985-022-09566-4. PMID: 35939142; PMCID: PMC10349573.
  11. Wang R, Lin DY, Jiang Y. EPIC: Inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing. PLoS Genetics. 2022 Jun 16;18(6):e1010251. doi: 10.1371/journal.pgen.1010251. PMID: 35709291; PMCID: PMC9242467.
  12. Wong KY, Zeng D, Lin DYSemiparametric latent-class models for multivariate longitudinal and survival data. The Annals of Statistics. 2022 Feb;50(1):487-510. doi: 10.1214/21-aos2117. PMID: 35813218; PMCID: PMC9269993.
  13. Young KL, Fisher V, Deng X, Brody JA, Graff M, …, Lin DY, …, Province M, van Duijn CM, North KE, Cupples LA, Liu CT. Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. HGG Advances 2022 Nov 25;4(1):100163. doi: 10.1016/j.xhgg.2022.100163. PMID: 36568030; PMCID: PMC9772568.


  1. Lin DY, Abi Fadel F, Huang S, Milinovich AT, Sacha GL, Bartley P, Duggal A, Wang X. Nirmatrelvir or molnupiravir use and severe outcomes from omicron infections. JAMA Network Open. 2023 Sep 5;6(9):e2335077. doi: 10.1001/jamanetworkopen.2023.35077. PMID: 37733342; PMCID: PMC10514733.
  2. Lin DY, Fleming TR. VV116 or Nirmatrelvir-ritonavir for oral treatment of Covid-19. New England Journal of Medicine. 2023 Jun 22;388(25):2395. doi: 10.1056/NEJMc2305030. PMID: 37342930.
  3. Lin DY, Xu Y, Gu Y, Zeng D, Sunny SK, Moore Z. Durability of bivalent boosters against omicron subvariants. New England Journal of Medicine. 2023 May 11;388(19):1818-1820. doi: 10.1056/NEJMc2302462. PMID: 37043647; PMCID: PMC10120009.
  4. Lin DY, Xu Y, Gu Y, Zeng D, Wheeler B, Young H, Moore Z, Sunny SK. Effects of COVID-19 vaccination and previous SARS-CoV-2 infection on omicron infection and severe outcomes in children under 12 years of age in the USA: an observational cohort study. Lancet Infectious Diseases. 2023 Nov;23(11):1257-1265. doi: 10.1016/S1473-3099(23)00272-4. PMID: 37336222; PMCID: PMC10275621.
  5. Lin DY, Xu Y, Gu Y, Zeng D, Wheeler B, Young H, Sunny SK, Moore Z. Effectiveness of bivalent boosters against severe omicron infection. New England Journal of Medicine. 2023 Feb 23;388(8):764-766. doi: 10.1056/NEJMc2215471. PMID: 36734847; PMCID: PMC9933929.
  6. Lin DY, Xu Y, Zeng D, Sunny SK. A cost-benefit analysis of bivalent Covid-19 vaccines. Journal of Biotechnology and Biomedicine. 2023;6(4):551-553. doi: 10.26502/jbb.2642-91280116. PMID: 38050633; PMCID: PMC10695403.
  7. Kidd J, Raulerson CK, Mohlke KL, Lin DYMediation analysis of multiple mediators with incomplete omics data. Genetic Epidemiology. 2023 Feb;47(1):61-77. doi: 10.1002/gepi.22504. PMID: 36125445; PMCID: PMC10423053.
  8. Little P, Liu S, Zhabotynsky V, Li Y, Lin DY, Sun W. A computational method for cell type-specific expression quantitative trait loci mapping using bulk RNA-seq data. Nature Communications. 2023 May 25;14(1):3030. doi: 10.1038/s41467-023-38795-w. PMID: 37231002; PMCID: PMC10212972.
  9. Paritala S, Xu Y, Du Y, Donahue M, Maloney P, Lin DYEffectiveness of bivalent boosters over nine and half months. Journal of Biotechnology and Biomedicine. 2023;6:585-9. doi: 10.26502/jbb.2642-91280121.
  10. Wang X, Fadel FA, Huang S, Sacha GL, Bartley P, Duggal A, Lin DYEffectiveness of bebtelovimab against hospitalization and death from the omicron BA.4/BA.5 and BQ.1/BQ.1.1 subvariants. Chest. 2023 Oct;164(4):872-874. doi: 10.1016/j.chest.2023.06.004. PMID: 37414096; PMCID: PMC10699137.
  11. Wang X, Zein J, Ji X, Lin DYImpact of vaccination, prior infection, and therapy on omicron infection and mortality. Journal of Infectious Diseases. 2023 Apr 18;227(8):970-976. doi: 10.1093/infdis/jiac460. PMID: 36415931; PMCID: PMC10319976.
  12. Wong KY, Zeng D, Lin DYPenalized regression for multiple types of many features with missing data. Statistica Sinica. 2023 Apr;33(2):633-662. doi: 10.5705/ss.202020.0401. PMID: 37197479; PMCID: PMC10187615.
  13. Xu Y, Zeng D, Lin DYMarginal proportional hazards models for multivariate interval-censored data. Biometrika. 2023 Sep;110(3):815-830. doi: 10.1093/biomet/asac059. PMID: 37601305; PMCID: PMC10434824.
  14. Yang H, Lin DY, Li Q. An efficient greedy search algorithm for high-dimensional linear discriminant analysis. Statistica Sinica. 2023 May;33(SI):1343-1364. doi: 10.5705/ss.202021.0028. PMID: 37455685; PMCID: PMC10348717.


  1. Gu Y, Zeng D, Heiss G, Lin DYMaximum likelihood estimation for semiparametric regression models with interval-censored multistate data. Biometrika. 2024 (in press). doi: 10.1093/biomet/asad073.
  2. Li Y, Wong KY, Howard AG, Gordon-Larsen P, Highland HM, Graff M, North KE, Downie CG, Avery CL, Yu B, Young KL, Buchanan VL, Kaplan R, Hou L, Joyce BT, Qi Q, Sofer T, Moon JY, Lin DYMendelian randomization with incomplete measurements on the exposure in the Hispanic Community Health Study/Study of Latinos. HGG Advances. 2024 Jan 11;5(1):100245. doi: 10.1016/j.xhgg.2023.100245. PMID: 37817410; PMCID: PMC10628889.
  3. Xu Y, Zeng D, Lin DYProportional rates models for multivariate panel count data. Biometrics. 2024 Jan 29;80(1):ujad011. doi: 10.1093/biomtc/ujad011. PMID: 38364799; PMCID: PMC10871866.