An application of Edgeworth expansion in Bayesian inferences: Optimal sample sizes in clinical trials
type: Item
instance of: scholarly article
title: An application of Edgeworth expansion in Bayesian inferences: Optimal sample sizes in clinical trials
zbMATH Open document ID: 1016.62090
DOI: 10.1016/S0378-3758(02)00162-3
published in: Journal of Statistical Planning and Inference
publication date: 2003-07-30T00:00:00Z
Mathematics Subject Classification ID: 62L05
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62C10
zbMATH DE Number: 1956817
zbMATH Keywords: decision theory
zbMATH Keywords: adaptive designs
zbMATH Keywords: utility functions
zbMATH Keywords: clinical trial in stages
zbMATH Keywords: optimal stage sizes
zbMATH Keywords: Edgeworth expansion
zbMATH Keywords: martingale convergence theorem
author: Yi. Cheng
MaRDI profile type: Publication
cites work: Q3930496
cites work: Q3809068
cites work: Multistage decission problems
cites work: Contributions to the "Two-Armed Bandit" Problem
cites work: Q5538132
cites work: Q4197923
cites work: The bootstrap and Edgeworth expansion
cites work: Optimal few-stage designs
cites work: On the many-armed bandit problem
cites work: Q3882215
cites work: Bayesian multistage decision problems
full work available at URL: s0378-3758(02)00162-3
OpenAlex ID: W2081729568
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description: scientific article; zbMATH DE number 1956817