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Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data

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第一作者： Geneletti, Sara

作者： Geneletti, Sara ^[1] ; O'Keeffe, Aidan G. ^[2] ; Sharples, Linda D. ^[3] ; Richardson, Sylvia ^[4] ; Baio, Gianluca

作者单位： UCL, Dept Stat Sci, London, England ^[1] London Sch Econ, Dept Stat, London WC2A 2AE, England ^[2] MRC Biostat Unit, Cambridge, England ^[3] Univ Leeds, Leeds Inst Clin Trials Res, Leeds, W Yorkshire, England ^[4]

关键词 regression discontinuity design causal inference local average treatment effect informative priors

发布时间 2015-07-17

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Statistics in medicine

2015年34卷15期

2334-2352页

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Statistics in medicine

2015年34卷15期

2334-2352页

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Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data

Statistics in medicine

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Statistics in medicine

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Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data

Statistics in medicine

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Statistics in medicine

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