Model Averaging Using Likelihoods That Reflect Poor Outcomes for Clinical Trial Dropouts
Author:
Affiliation:
1. Merck & Co., Inc, North Wales, PA
Publisher
Informa UK Limited
Subject
Pharmaceutical Science,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/19466315.2019.1697740
Reference21 articles.
1. A Multiple-Imputation-Based Approach to Sensitivity Analyses and Effectiveness Assessments in Longitudinal Clinical Trials
2. Model Selection: An Integral Part of Inference
3. Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation
4. Bayesian Methods for Nonignorable Dropout in Joint Models in Smoking Cessation Studies
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