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.
|Author||Joseph Rigdon, Michael Baiocchi, Sanjay Basu|
|Date of publication||2016-09-01 01:35:53|
|Maintainer||Joseph Rigdon <firstname.lastname@example.org>|
asd: Function to compute absolute standardized difference of a...
calipers: Matching priority function
eff.ratio: Inference for effect ratio
matches: Function to find pair matches using a distance matrix....
nearfar-package: Near-Far Matching
opt.nearfar: Finds optimal near-far match
smahal: Compute rank-based Mahalanobis distance matrix between each...
stat.lambda: Compute test statistic for effect ratio
summ.matches: Computes table of absolute standardized differences