Characterizing highly benefited patients in randomized clinical trials

DOI10.1515/IJB-2016-0045MaRDI QIDQ6636136

Constantine E. Frangakis, Constantine G. Lyketsos, Lea T. Drye, Paul B. Rosenberg, Vivek Charu, David Shade, Lisa Rein, Lon Schneider

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

RCTAlzheimer's diseaseheterogeneity in treatment effectshigh benefit

Mathematics Subject Classification ID

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

Cites Work

• Structural nested models and G-estimation: the partially realized promise
• Bayesian inference for causal effects: The role of randomization
• Analysis of randomized comparative clinical trial data for personalized treatment selections
• The central role of the propensity score in observational studies for causal effects
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• A Robust Method for Estimating Optimal Treatment Regimes
• Targeted maximum likelihood learning

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