Learn R Programming

nearfar (version 1.3)

nearfar-package: 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.

Arguments

Author

Joseph Rigdon jrigdon@wakehealth.edu

Details

Package:nearfar
Type:Package
Version:1.3
Date:2024-01-15
License:GPL-3

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.