A parallel sampling framework for model averaging: Application to dose response studies.

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作者： Charles C,Liu ^[1] ; Ron Xiaolong,Yu ^[2]

作者单位： Department of Biostatistics, Gilead Sciences, Foster City, CA 94404, USA. Electronic address: cliu17@gilead.com. ^[1] Department of Biostatistics, Gilead Sciences, Foster City, CA 94404, USA. ^[2]

关键词 Bagging Bayesian model averaging Bootstrap Emax Model complexity Model selection criteria

主题词人类(Humans);贝叶斯定理(Bayes Theorem);模型, 统计学(Models, Statistical)

DOI 10.1016/j.cct.2022.106957

PMID 36228983

发布时间 2023-01-26

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Contemporary clinical trials

2022年123卷

106957页

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A parallel sampling framework for model averaging: Application to dose response studies.

Contemporary clinical trials

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Contemporary clinical trials

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A parallel sampling framework for model averaging: Application to dose response studies.

Contemporary clinical trials

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Contemporary clinical trials

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