CEM: Software for Coarsened Exact Matching

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CEM: Software for Coarsened Exact Matching

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dc.contributor.author King, Gary
dc.contributor.author Porro, Giuseppe
dc.contributor.author Iacus, Stefano
dc.date.accessioned 2010-02-25T20:26:56Z
dc.date.issued 2009
dc.identifier.citation Iacus, Stefano M., Gary King, and Giuseppe Porro. 2009. CEM: Software for coarsened exact matching. Journal of Statistical Software 30, no. 9. en_US
dc.identifier.issn 1548-7660 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:3708234
dc.description.abstract This program is designed to improve causal inference via a method of matching that is widely applicable in observational data and easy to understand and use (if you understand how to draw a histogram, you will understand this method). The program implements the coarsened exact matching (CEM) algorithm, described below. CEM may be used alone or in combination with any existing matching method. This algorithm, and its statistical properties, are described in Iacus, King, and Porro (2008). en_US
dc.description.sponsorship Government en_US
dc.language.iso en_US en_US
dc.publisher American Statistical Association en_US
dc.relation.isversionof http://www.jstatsoft.org/v30/i09 en_US
dash.license META_ONLY
dc.subject causal inference en_US
dc.subject matching en_US
dc.subject treatment effect estimation en_US
dc.title CEM: Software for Coarsened Exact Matching en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal Journal of Statistical Software en_US
dash.depositing.author King, Gary
dash.embargo.until 10000-01-01

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  • FAS Scholarly Articles [7176]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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