JSM 2004 Online Program

Abstract #301248

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Activity Number:	439
Type:	Contributed
Date/Time:	Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #301248
Title:	Analysis Strategies for Multiple-outcome Measures
Author(s):	Sarah Baraniuk*+ and Lemuel A. Moye
Companies:	University of Texas and University of Texas School of Public Health
Address:	School of Public Health, Houston, TX, 77030,
Keywords:	multiple-outcome measures ; multiplicity ; clinical trials ; experiment-wise error rate
Abstract:	Multiple-outcome measures are common in clinical trials, particularly in cardiovascular clinical trials where generally more than one type of outcome is measured (different types of strokes, myocardial infarctions, and death). The outcomes are often correlated to varying degrees and differ in severity. The motivation of this work stems from a clinical trial involving different stroke severity measures, ending with the construction of strategies that aid the analysis of multiple outcome measures.

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