Danyu Lin is the Dennis Gillings Distinguished Professor of Biostatistics at the University of North Carolina at Chapel Hill. Dr. Lin is primarily interested in developing statistical methods for the designs and analyses of medical and public health studies, including genetic association studies. His current research focuses on two areas:
Dr. Lin and his team develop statistical methods and computer programs for genetic association studies. They are particularly interested in genome-wide association studies (GWAS) and next-generation sequencing studies. Their current topics include rare-variant testing, association analysis under trait-dependent sampling, integrative analysis of GWAS and sequencing data, meta-analysis with high-dimensional data, meta-analysis of gene-level associations, random-effects models, and copy number variations.
Dr. Lin and his colleagues investigate semiparametric regression models and associated inference procedures for potentially censored survival (failure) times. They are particularly interested in transformation models and accelerated failure time models and seek efficient inference procedures based on nonparametric maximum likelihood and related approaches. Their work is concerned with both univariate and multivariate failure time data under right- or interval-censorship.