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Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes.

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第一作者： Sonja A,Swanson

第一单位： Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.;Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.

作者： Sonja A,Swanson ^[1] ; Miguel A,Hernán ^[2] ; Matthew,Miller ^[3] ; James M,Robins ^[4] ; Thomas S,Richardson ^[5]

作者单位： Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.;Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA. ^[1] Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.;Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.;Harvard-MIT Division of Health Sciences and Technology, Boston, MA. ^[2] Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.;Department of Health Sciences, Northeastern University, Boston, MA. ^[3] Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.;Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA. ^[4] Department of Statistics, University of Washington, Seattle, WA. ^[5]

关键词 Average treatment effect Causal graphical model Instrument Instrumental variable Partial identification Single world intervention graph

DOI 10.1080/01621459.2018.1434530

PMID 31537952

发布时间 2020-02-25

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