Recurrent Event Models in the Presence of a Terminal Event: Comparison, Inference and Data Analysis

Xianghua Luo, Ph.D.
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
*Candidate for the Assistant or Associate Professor Position

Friday, February 17th
10:00am
Moos 2-690
Minneapolis Campus

Abstract:
For recurrent event data in the presence of a terminal event, various definitions of the recurrent rate function have been adopted in the proportional rate models. While these rate functions have quite different interpretations, recognition of the differences has been lacking theoretically and practically. We compare three types of rate functions from both conceptual and quantitative perspectives, and reach the conclusion that inappropriate choice of a rate function may lead to misleading scientific conclusions. Simulations are conducted for comparisons of the focused models. A data analysis of a clinical trial conducted by the Community Programs for Clinical Research on AIDS (CPCRA) is presented to illustrate the analytical results.

A social tea will be held at 9:30A.M. in A434 Mayo. All are Welcome.
For more details contact 612-624-4655 or see http://www.biostat.umn.edu/seminar_academic.html