JSM 2005 Online Program

Abstract #303261

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:	279
Type:	Luncheons
Date/Time:	Tuesday, August 9, 2005 : 12:30 PM to 1:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #303261
Title:	Longitudinal Data Analysis: Some Practical Recommendations
Author(s):	Devan Mehrotra*+
Companies:	Merck Research Laboratories
Address:	Clinical Biostatistics, UN-A102, Blue Bell, PA, 19422, United States
Keywords:	Correlation structure ; Missing data ; Multiple Imputation ; PROC MIXED ; Repeated Measures ; Robust inference
Abstract:	In a typical comparative clinical trial, for each randomized subject, a response of interest (e.g., CD4 cell count) is measured at baseline and at fixed post-baseline time points. Analyses of the longitudinal data from such trials pose a variety of challenges for the practicing statistician. Examples include dealing with incomplete data due to premature study discontinuations, accounting for correlations between responses within subjects (correlation structure), making "best" use of the baseline response, and building in robustness to outliers or systematic departures from multivariate normality of the response vector. I will offer some pragmatic recommendations to deal with these common challenges. Illustrative examples and simulation results will be used to reinforce the key points.

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