Return‐to‐baseline multiple imputation for missing values in clinical trials
Author:
Affiliation:
1. Department of Statistics, Data and Analytics Lilly Corporate Center, Eli Lilly and Company Indianapolis Indiana USA
Publisher
Wiley
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.2191
Reference22 articles.
1. ICH E9 (R1).Addendum on estimands and sensitivity analysis in clinical trials to the guideline on statistical principles for clinical trials . EMA/CHMP/ICH/436221/2017 Step 5 (17 February 2020);2020.
2. Defining estimands using a mix of strategies to handle intercurrent events in clinical trials
3. Implementation of ICH E9 (R1): A Few Points Learned During the COVID-19 Pandemic
4. European Medicines Agency Committee for Medicinal Products for Human Use (CHMP).Guideline on missing data in confirmatory clinical trials. EMA/CPMP/EWP/1776/99 Rev. 1;2010.
5. Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation
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