multilevelMatching: Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments

Implements methods to estimate causal effects from observational studies when there are 2+ distinct levels of treatment (i.e., "multilevel treatment") using matching estimators, as introduced in Yang et al. (2016) <doi:10.1111/biom.12505>. Matching on covariates, and matching or stratification on modeled propensity scores, are available. These methods require matching on only a scalar function of generalized propensity scores.

Package details

AuthorShu Yang [aut], Brian G. Barkley [aut, cre] (<>)
MaintainerBrian G. Barkley <>
Package repositoryView on CRAN
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multilevelMatching documentation built on May 8, 2019, 5:02 p.m.