<b>MatchIt</b>: Nonparametric Preprocessing for Parametric Causal Inference
Daniel E. Ho, Kosuke Imai, Gary King et al.
2011 · Journal of Statistical Software · 4,336 citations
<b>MatchIt</b> implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods. <b>MatchIt</b> implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions. The software also easily fits into existing research practices since, after preprocessing data with <b>MatchIt</b>, researchers can use whatever parametric model they would have used without <b>Mat…
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