Covariate-adjusted response-adaptive designs for generalized linear models

DOI10.1016/J.JSPI.2014.02.006zbMath1432.62359OpenAlexW2076394123MaRDI QIDQ2448809

Siu Hung Cheung, Fei-fang Hu, Zhang, Lixin, Wai Sum Chan

Publication date: 5 May 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2014.02.006

zbMATH Keywords

asymptotic normalitypowerclinical trialslogistic regressionpersonalized medicinetotal failures

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sequential statistical design (62L05)

Related Items (2)

Estimation for varying coefficient partially nonlinear models with distorted measurement errors ⋮ Nonparametric covariate-adjusted response-adaptive design based on a functional urn model

Cites Work

• Unnamed Item
• Optimal Adaptive Designs for Binary Response Trials
• Handling covariates in the design of clinical trials
• Asymptotic properties of covariate-adjusted response-adaptive designs
• Optimum biased coin designs for sequential clinical trials with prognostic factors
• The Comparison of Designs for Sequential Clinical Trials with Covariate Information
• The Theory of Response‐Adaptive Randomization in Clinical Trials
• Patterns of treatment effects in subsets of patients in clinical trials

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