A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies

DOI10.1111/biom.12461zbMath1390.62282OpenAlexW167864499WikidataQ37026562 ScholiaQ37026562MaRDI QIDQ2827203

Benjamin Dizier, Bart Spiessens, L. J. Wei, Fernando Ulloa-Montoya, Lihui Zhao, Andrea Callegaro, Brian Claggett, Tianxi Cai, L. Tian, Junlong Li

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1177&context=harvardbiostat

zbMATH Keywords

survival analysiscross-validationCox modelstratified medicinetherapy-diagnostic co-development

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (2)

Testing interaction between treatment and high‐dimensional covariates in randomized clinical trials ⋮ Bayesian two‐stage sequential enrichment design for biomarker‐guided phase II trials for anticancer therapies

Uses Software

• glmnet

Cites Work

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