Student Seminar Series - April 14, 2005
University of Minnesota
School of Statistics
College of Liberal Arts
Comparing
Two Crossing Hazard Rates By Cox Proportional Hazards Modeling
Jun Sheng
Thursday, April 14, 2005
1:00 PM, 240
Amundson Hall
Minneapolis, East Bank Campus
Refreshments at 12:30 PM
300 Ford Hall
Abstract
Motivated by a clinical trial of Zinc nasal spray for the
treatment of common cold, we consider the problem of comparing two
crossing hazard rates. A new method, based on modeling the crossing
hazard rates, is proposed, and, is implemented under the Cox
proportional hazards modeling framework. The proposed method has
several benefits, as compared to some existing ones, which include: (i)
it can accommodate possible covariate effect easily, and (ii) it covers
a wide range of crossing patterns of the hazard rates by using the
Box-Cox transformation in its model. Monte Carlo simulations show that
it outperforms some of its peers. Applications to a kidney dialysis
patient's data and the Zinc nasal spray clinical trial data are
discussed. Related research topics proposed for further study are
described.