JSM 2005 Online Program

Abstract #304787

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:	98
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #304787
Title:	Hyperdependency in Multiple Dependent Analyses
Author(s):	Sarah Baraniuk*+ and Lemuel Moye
Companies:	The University of Texas Health Science Center at Houston and The University of Texas Health Science Center at Houston
Address:	1733 Wroxton Ct, Houston, TX, 77005, United States
Keywords:	Multiple analyses ; dependent analyses ; Clinical trials ; experiment-wise error rate
Abstract:	Multiple analyses are common in clinical trials. Investigators often are asked to limit the number of primary analyses to a single question, even though this is often not practical in the clinical setting or helpful in evaluating related measures. The outcomes often are dependent on each other to varying degrees and differ in severity. The situation where the dependency is high (hyperdependency) is of major interest. The purpose of this work is to demonstrate situations where hyperdependency should be considered and to demonstrate its effect on hypothesis testing, sample size, and power analysis issues. Examples from clinical trial settings will be used to demonstrate its usefulness and to present guidelines regarding strategies for proper use.

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