nearfar-package: Near-Far Matching

Description Details Author(s) References

Description

Near-far matching is a study design technique for preprocessing observational data to mimic a pair-randomized trial. Individuals are matched to be near on measured confounders and far on levels of an instrumental variable.

Details

The DESCRIPTION file: This package was not yet installed at build time.

Index: This package was not yet installed at build time.

Please see opt.nearfar for a detailed example displaying full functionality of the nearfar package.

The authors graciously acknowledge support for this work from the National Institute On Minority Health And Health Disparities of the National Institutes of Health under Award Number DP2MD010478 and the Agency for Healthcare Research and Quality of the National Institutes of Health under Award Number 5R00HS022192-03.

Author(s)

Joseph Rigdon, Michael Baiocchi, Sanjay Basu

Maintainer: Joseph Rigdon <jrigdon@stanford.edu>

References

Rigdon J, Baiocchi M, Basu S (2016). Near-far matching in R: The nearfar package. Submitted to the Journal of Statistical Software.

Baiocchi M, Small D, Lorch S, Rosenbaum P (2010). Building a stronger instrument in an observational study of perinatal care for premature infants. Journal of the American Statistical Association, 105(492), 1285-1296.

Baiocchi M, Small D, Yang L, Polsky D, Groeneveld P (2012). Near-far matching: a study design approach to instrumental variables. Health Services and Outcomes Research Methodology, 12(4), 237-253.


nearfar documentation built on May 29, 2017, 10:53 p.m.

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