COVID is an R package that implements the two robust methods described in Lin et al. (2022) to assess the totality of evidence for the treatment effects on the entire clinical course of a patient using daily clinical outcomes. The use of the software is documented in “COVID-vignette.pdf”, and a user guide is provided in “COVID-manual.pdf”.
In addition, we develop a SAS macro that fits marginal proportional hazards models for multiple events and combines the evidence of treatment effects using the Wei, Lin and Weissfeld (1989, JASA) method. A user guide is provided in “WLW.pdf”.
Lin DY, Wang J, Gu Y, Zeng D (2022). Evaluating Treatment Efficacy in Hospitalized Covid-19 Patients. Submitted.
Wei LJ, Lin DY, Weissfeld L (1989). Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J Am Stat Ass, 84: 1065-1073.
COVID_1.0.tar.gz >> COVID_1.0.tar.gz
COVID-manual.pdf >> COVID-manual.pdf
COVID-vignette.pdf >> COVID-vignette.pdf
WLW_macro.sas >> WLW_macro.sas
WLW.pdf >> WLW.pdf