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

Package: nearfar
Type: Package
Version: 1.1
Date: 2017-06-01
License: GPL-3

Author(s)

Joseph Rigdon jrigdon@stanford.edu

References

Rigdon J, Baiocchi M, Basu S (2017). 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 June 3, 2017, 1:02 a.m.

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