JSM 2005 Online Program

Abstract #302636

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:	241
Type:	Invited
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Statistical Consulting
Abstract - #302636
Title:	Using Internal Pilot Designs with Repeated Measures
Author(s):	Christopher S. Coffey*+ and Keith E. Muller
Companies:	University of Alabama at Birmingham and University of North Carolina, Chapel Hill
Address:	327M Ryals Public Health Bldg., Birmingham, AL, 35294-0022,
Keywords:	sample size re-estimation ; adaptive designs ; ANOVA ; mixed models
Abstract:	Members of an invited panel at JSM 2000 agreed that lack of a credible covariance matrix presents the biggest problem in choosing a credible sample size for studies using repeated measures. Consequently, such studies often have too small or too large a sample size. An internal pilot design can solve the problem when interim data disagree with the assumptions upon which the original sample size calculations were based. Such designs use some fraction of data to reestimate nuisance parameters and adjust sample size to achieve the target power. Most previous work has focused on univariate outcomes with i.i.d. Gaussian errors. Here, we summarize our current research, which centers on extending the advantages of internal pilot designs to studies with repeated measures.

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