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).
cem : Software for Coarsened Exact Matching / S.M. Iacus, G. King, G. Porro. - In: JOURNAL OF STATISTICAL SOFTWARE. - ISSN 1548-7660. - 30:13(2009), pp. 1-27.
cem : Software for Coarsened Exact Matching
S.M. IacusPrimo
;
2009
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).
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