Missing data and sensitivity analysis for binary data with implications for sample size and power of randomized clinical trials
Author:
Affiliation:
1. Department of Biostatistics and Medical InformaticsUniversity of Wisconsin‐Madison Madison Wisconsin
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8428
Reference12 articles.
1. Missing Inaction: Preventing Missing Outcome Data in Randomized Clinical Trials
2. Addressing Missing Data in Clinical Trials
3. The Prevention and Treatment of Missing Data in Clinical Trials
4. The Prevention and Treatment of Missing Data in Clinical Trials: An FDA Perspective on the Importance of Dealing With It
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