Estimating the Complier Average Causal Effect in a Meta-Analysis of Randomized Clinical Trials With Binary Outcomes Accounting for Noncompliance: A Generalized Linear Latent and Mixed Model Approach-论文-万方医学网

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Estimating the Complier Average Causal Effect in a Meta-Analysis of Randomized Clinical Trials With Binary Outcomes Accounting for Noncompliance: A Generalized Linear Latent and Mixed Model Approach

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第一作者： Zhou, Ting

作者： Zhou, Ting ^[1] ; Zhou, Jincheng ^[2] ; Hodges, James S. ^[3] ; Lin, Lifeng ^[4] ; Chen, Yong ^[5] ; Cole, Stephen R. ^[6] ; Chu, Haitao

作者单位： Dept Epidemiol & Biostat,Sichuan Univ ^[1] Ctr Design & Anal,Amgen Inc ^[2] Sch Publ Hlth,Univ Minnesota ^[3] Dept Stat,Florida State Univ ^[4] Perelman Sch Med,Univ Penn ^[5] Gillings Sch Global Publ Hlth,Univ N Carolina ^[6]

关键词 complier average causal effect generalized linear latent and mixed model meta-analysis noncompliance randomized clinical trials TO-TREAT ANALYSIS EPIDURAL ANALGESIA PRINCIPAL STRATIFICATION CESAREAN DELIVERY INTRAVENOUS ANALGESIA RECEIVING TREATMENT LONGITUDINAL DATA PAIN RELIEF INFERENCE EFFICACY

发布时间 2022-07-13

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Estimating the Complier Average Causal Effect in a Meta-Analysis of Randomized Clinical Trials With Binary Outcomes Accounting for Noncompliance: A Generalized Linear Latent and Mixed Model Approach

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Estimating the Complier Average Causal Effect in a Meta-Analysis of Randomized Clinical Trials With Binary Outcomes Accounting for Noncompliance: A Generalized Linear Latent and Mixed Model Approach

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