An R package for implementing matching and weighting on generalized propensity scores with continuous exposures.
We developed an innovative approach for estimating causal effects using observational data in settings with continuous exposures, and introduce a new framework for GPS caliper matching.
Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2018. Matching on generalized propensity scores with continuous exposures. arXiv preprint arXiv:1812.06575.
Kennedy, E.H., Ma, Z., McHugh, M.D. and Small, D.S., 2017. Non-parametric methods for doubly robust estimation of continuous treatment effects. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(4), pp.1229-1245.
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