rsmatch

Implements popular methods for matching in time-varying observational studies. Matching is difficult in this scenario because participants can be treated at different times which may have an influence on the outcomes. The core methods include: "Balanced Risk Set Matching" from Li, Propert, and Rosenbaum (2011) doi:10.1198/016214501753208573 and "Propensity Score Matching with Time-Dependent Covariates" from Lu (2005) doi:10.1111/j.1541-0420.2005.00356.x. Some functions use the 'Gurobi' optimization back-end to improve the optimization problem speed; the 'gurobi' R package and associated software can be downloaded from after obtaining a license.