nearfar-package {nearfar}R Documentation

Near-Far Matching

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: 1.3
Date: 2024-01-15
License: GPL-3

Author(s)

Joseph Rigdon jrigdon@wakehealth.edu

References

Rigdon J, Baiocchi M, Basu S (2018). Near-far matching in R: The nearfar package. Journal of Statistical Software, 86(5), 1-21.

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.


[Package nearfar version 1.3 Index]