Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop‐the‐losers trials

DOI10.1002/bimj.201200245zbMath1442.62282OpenAlexW1586283587WikidataQ39961475 ScholiaQ39961475MaRDI QIDQ5416425

Jack Bowden, Ekkehard Glimm

Publication date: 20 May 2014

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201200245

zbMATH Keywords

treatment selectionUMVCUEdrop-the-losers designbias-adjusted estimation

Mathematics Subject Classification ID

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

Related Items (3)

SEAMLESS PHASE II/III CLINICAL TRIALS WITH COVARIATE ADAPTIVE RANDOMIZATION ⋮ Conditional Estimation in Two-Stage Adaptive Designs ⋮ A general framework for the analysis of adaptive experiments

Cites Work

• Two stage conditionally unbiased estimators of the selected mean
• Likelihood inference for a two-stage design with treatment selection
• Extension of a Two-Stage Conditionally Unbiased Estimator of the Selected Population to the Bivariate Normal Case
• Interval estimation for drop-the-losers designs
• Unbiased estimation following a group sequential test
• On the bias of maximum likelihood estimation following a sequential test
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