American Statistical Association
The Cox proportional hazards (PH) model is widely used in survival analysis and it assumes that relative risks remain constant across time. This assumption is violated in several applications in biosciences and genetics. To address this issue, we propose an extension of the PH model that allows for time-varying relative risks. We develop statistical properties and novel data analysis methods using the nonparametric likelihood methodology. Extensive simulations and data from a clinical trial and a genetic study are used to demonstrate the usefulness of our methods. We also provide an extension of the proposed model to the competing risks area.
Guoqing Diao is an assistant professor in the Department of Statistics at George Mason University. He received his Ph.D. degree in Biostatistics from the University of North Carolina at Chapel Hill in December 2005. Dr. Diao's research interests include statistical genetics, survival analysis, semiparametric models, and rare event simulation problems.
|Date:||Thursday, November 10, 2011|
|Time:||4:00 - 5:00 P.M.|
Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Biostatistics Computer Lab
6th Floor - Room 656
New York, New York