STRATIFIED TESTS, STRATIFIED SLOPES, AND RANDOM EFFECTS MODELS FOR CLINICAL TRIALS WITH MISSING DATA
Author:
Affiliation:
1. a Department of Biostatistics , University of Iowa , 2800 SB, Iowa City, Iowa, 52242, U.S.A.
2. b Department of Pediatrics , University of Iowa , 314 MRC, Iowa City, Iowa, 52242, U.S.A.
Publisher
Informa UK Limited
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1081/BIP-100101977
Reference9 articles.
1. Analysing repeated measurements data: a practical comparison of methods
2. Longitudinal data analysis (repeated measures) in clinical trials
3. Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
4. Size and Power of Two-Sample Tests of Repeated Measures Data
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1. The impact of loss to follow-up on hypothesis tests of the treatment effect for several statistical methods in substance abuse clinical trials;Journal of Substance Abuse Treatment;2009-07
2. A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation study;Substance Abuse Treatment, Prevention, and Policy;2008-06-03
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