JSM 2003 Online Program

Abstract #300051

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Activity Number:	423
Type:	Contributed
Date/Time:	Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #300051
Title:	Trend Tests for Carcinogenicity Studies: Failure-Time Mixture Models Approach
Author(s):	Kallappa M. Koti*+
Companies:	Food and Drug Administration
Address:	1401 Rockville Pike, Rockville, MD, 20852-1428,
Keywords:	Cochran-Armitage test ; Poly-3 test ; Log-rank test ; Likelihood analysis
Abstract:	We consider a failure-time mixture model for comparing a chemical compound at k (>2) dose levels with a control in a typical carcinogenicity study. We use a logistic function to model the tumor incidence rate and the gamma distribution for the accelerated failure-time regression model. We investigate the differences in tumor prevalence and survival time among treatment groups using trend tests. We illustrate the model and the trend tests using a fictitious dataset.

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