JSM 2004 Online Program

Abstract #301648

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Activity Number:	148
Type:	Topic Contributed
Date/Time:	Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #301648
Title:	Statistical Analysis of Stratified Missing-at-random Designs for Large Clinical Trials
Author(s):	Ilana Belitskaya-Levy*+ and Judith D. Goldberg and Yongzhao Shao
Companies:	New York University School of Medicine and New York University School of Medicine and New York University
Address:	650 First Ave., Room 512, New York, NY, 10016,
Keywords:	missing data ; maximum likelihood estimation ; monotone missing pattern ; clinical trial ; EM algorithm ; translational research
Abstract:	In large clinical trials for complex diseases, it is often impossible for all investigators to include all patients in all of the ancillary translational research studies that are part of the trials. This arises due to time and budgetary constraints and other logistical considerations. We investigate a clinical trial designed with some covariates missing at random, and propose algorithms for data analysis that incorporate the features of the design.

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