Handling drop-out in longitudinal clinical trials: a comparison of the LOCF and MMRM approaches
Author:
Publisher
Wiley
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Reference17 articles.
1. ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS
2. Type I Error Rates from Mixed Effects Model Repeated Measures Versus Fixed Effects Anova with Missing Values Imputed Via Last Observation Carried Forward
3. Marginal Analysis of Incomplete Longitudinal Binary Data: A Cautionary Note on LOCF Imputation
4. Move Over ANOVA
5. Type I error rates from likelihood-based repeated measures analyses of incomplete longitudinal data
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