JSM 2005 Online Program

Abstract #304451

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	512
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Biopharmaceutical Section
Abstract - #304451
Title:	Additive Risk Model for Studies with Two-stage Data
Author(s):	Gang Li and Yu Zhao*+
Companies:	University of California, Los Angeles and University of California, Los Angeles
Address:	Department of Biostatistics, SPH, Los Angeles, CA, 90095, United States
Keywords:	survival analysis ; additive risk ; two-stage data
Abstract:	In many biomedical or epidemiological studies, two-stage data are collected in which crude information about failure time and important covariates is observed for the first-stage sample, randomly selected from the population of interest, and accurate information is collected from the smaller, second-stage subsample, which is a subsample of the first-stage sample. We propose an estimation method for additive risk model in studies with two-stage data. Compared with the typical estimation based only on the accurate information from the second-stage subsample, this method combines the information from both the first-stage sample and the second-stage subsample, achieving higher efficiency. Simulation studies are presented to illustrate the effectiveness of this method.

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