Robust allocation schemes for clinical trials with prognostic factors

DOI10.1016/J.JSPI.2003.08.006zbMath1083.62115OpenAlexW2056168683MaRDI QIDQ1888848

Douglas P. Wiens

Publication date: 29 November 2004

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.2003.08.006

zbMATH Keywords

Optimal designM-estimationMinimaxBiased coin designBalanceSequential allocation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Sequential statistical design (62L05) Robust parameter designs (62K25)

Related Items (1)

A matching procedure for sequential experiments that iteratively learns which covariates improve power

Cites Work

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• Robust design in a two treatment comparison in the presence of a covariate
• A Treatment Allocation Procedure for Sequential Clinical Trials
• Asymptotic behavior of general M-estimates for regression and scale with random carriers
• Optimum biased coin designs for sequential clinical trials with prognostic factors
• The Comparison of Designs for Sequential Clinical Trials with Covariate Information
• Forcing a sequential experiment to be balanced

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