Causal Inference using Multivariate Generalized Propensity Score
Description
Methods for estimating and utilizing the multivariate generalized
propensity score (mvGPS) for multiple continuous exposures described in
Williams, J.R, and Crespi, C.M. (2020) . The methods allow
estimation of a dose-response surface relating the joint distribution of multiple
continuous exposure variables to an outcome. Weights are constructed assuming a
multivariate normal density for the marginal and conditional distribution of
exposures given a set of confounders. Confounders can be different for different
exposure variables. The weights are designed to achieve balance across all
exposure dimensions and can be used to estimate dose-response surfaces.