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, with or without genetic components. His current research focuses on two areas:

Statistical Genetics

Dr. Lin and his team develop statistical methods and computer programs for genetic linkage and association studies. Specifically, they explore semiparametric variance-component models for linkage and association analyses of quantitative traits with arbitrary distributions. They also pursue maximum likelihood methods for assessing haplotype effects and haplotype-environment interactions in population-based studies, including case-control, cross-sectional and cohort studies, as well as family-based studies.

Survival Analysis

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.