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Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes.

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第一作者： William J,Artman

第一单位： Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.

作者： William J,Artman ^[1] ; Brent A,Johnson ^[1] ; Kevin G,Lynch ^[2] ; James R,McKay ^[3] ; Ashkan,Ertefaie ^[1]

作者单位： Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA. ^[1] Center for Clinical Epidemiology and Biostatistics (CCEB) and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[2] Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[3]

关键词 binary outcome dynamic treatment regimes multiple comparisons with the best power analysis sequential multiple assignment randomized trials

医学主题词贝叶斯定理(Bayes Theorem);计算机模拟(Computer Simulation);人类(Humans);研究设计(Research Design);样本大小(Sample Size)

DOI 10.1002/sim.9323

PMID 35124836

发布时间 2022-08-10

基金项目

R61NS120240/NS/NINDS NIH HHS/United States R61 NS120240/NS/NINDS NIH HHS/United States R01DA048764/DA/NIDA NIH HHS/United States R01 DA048764/DA/NIDA NIH HHS/United States R21AA027571/AA/NIAAA NIH HHS/United States R21 AA027571/AA/NIAAA NIH HHS/United States

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