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nsaph-software
CausalGPS:Matching on Generalized Propensity Scores with Continuous Exposures
Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Maintained by Naeem Khoshnevis. Last updated 10 months ago.
24 stars 7.67 score 39 scriptsnsaph-software
GPCERF:Gaussian Processes for Estimating Causal Exposure Response Curves
Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <doi:10.48550/arXiv.2105.03454>.
Maintained by Boyu Ren. Last updated 11 months ago.
9 stars 5.86 score 16 scripts
polymerase3
vecmatch:Generalized Propensity Score Estimation and Matching for Multiple Groups
Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
Maintained by Mateusz Kolek. Last updated 6 days ago.
1 stars 3.90 score