On the relevance of prognostic information for clinical trials: A theoretical quantification

DOI10.1002/bimj.202100349arXiv2111.03391WikidataQ126306350 ScholiaQ126306350MaRDI QIDQ6149266

Stephen Senn, Unnamed Author, Torsten Hothorn

Publication date: 4 March 2024

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

Full work available at URL: https://arxiv.org/abs/2111.03391

zbMATH Keywords

clinical trialsmachine learningcovariate adjustmentsample size reductionprognostic covariates

Mathematics Subject Classification ID

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

Cites Work

• The prognostic analogue of the propensity score
• Boosting algorithms: regularization, prediction and model fitting
• Power gains by using external information in clinical trials are typically not possible when requiring strict type I error control
• A Biometrics Invited Paper with Discussion. Some Aspects of Analysis of Covariance
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets
• Unnamed Item

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