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Cited by 1,206

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

Open access
Ho, Daniel, Imai, Kosuke, King, Gary, Stuart, Elizabeth, Greifer, Noah·2005·CRAN: Contributed Packages
DOI 10.32614/cran.package.matchit
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Abstract

Selects matched samples of the original treated and control groups with similar covariate distributions – can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <doi:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)

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Metadata

Authors
Ho, D., Imai, K., King, G., Stuart, E., & Greifer, N.
Venue
CRAN: Contributed Packages
Publisher
The R Foundation
Published
2005-01-06
DOI
10.32614/cran.package.matchit
OpenAlex
W4395473939
Cited by
1,206
References
4
Type
dataset
Language
en
Open access
gold

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CoChat. (2026). Citation check: MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. https://app.cochat.ai/papers/10.32614/cran.package.matchit
The paper
Ho, D., Imai, K., King, G., Stuart, E., & Greifer, N. (2005). MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. CRAN: Contributed Packages. https://doi.org/10.32614/cran.package.matchit

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.