An application of Edgeworth expansion in Bayesian inferences: Optimal sample sizes in clinical trials

DOI10.1016/S0378-3758(02)00162-3zbMath1016.62090OpenAlexW2081729568MaRDI QIDQ1399266

Yi. Cheng

Publication date: 30 July 2003

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

Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00162-3

zbMATH Keywords

decision theoryadaptive designsutility functionsmartingale convergence theoremEdgeworth expansionclinical trial in stagesoptimal stage sizes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10) Sequential statistical design (62L05)

Related Items (1)

Sample Size Determination Using Bayesian Decision Criteria Under Absolute Value Loss Function

Cites Work

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• Bayesian multistage decision problems
• On the many-armed bandit problem
• Optimal few-stage designs
• Contributions to the "Two-Armed Bandit" Problem
• Multistage decission problems
• The bootstrap and Edgeworth expansion

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