Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment

DOI10.1093/biomet/asr055zbMath1228.62148OpenAlexW2094133309WikidataQ36145026 ScholiaQ36145026MaRDI QIDQ3107976

Michael G. Rosenblum

Publication date: 28 December 2011

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3413180

zbMATH Keywords

optimizationadaptive designgroup sequential designenrichment designpatient-oriented research

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Sequential statistical design (62L05)

Related Items (6)

New insights into adaptive enrichment designs ⋮ Recursive partitioning for heterogeneous causal effects ⋮ Confidence intervals for the selected population in randomized trials that adapt the population enrolled ⋮ Analysis of ``learn-as-you-go (LAGO) studies ⋮ Random norming AIDS analysis of non-linear regression models with sequential informative dose selection ⋮ Inference for a two-stage enrichment design

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