Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events

DOI10.1002/bimj.202000359zbMath1523.62092arXiv2012.02103OpenAlexW3205985198MaRDI QIDQ6068480

Tim Friede, Claudia Schmoor, Jan Beyersmann

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.02103

zbMATH Keywords

clinical trialsCOVID-19SARS-CoV-2competing eventsoutcomes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Handbook of Statistical Methods for Randomized Controlled Trials
• Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

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