Causal Inference with Continuous (Multiple Time Point) Interventions
Update GAM models
Plot dose-response curves
Printing the results of a gformula object
Helper function to calculate proportions of categorical variables
Causal Inference with Continuous (Multiple Time Point) Interventions
Custom estimands after applying gformula
Fit models after screening
Parametric g-formula for continuous multiple time point interventions
Compose appropriate model formulas
Obtaining estimates from multiply imputed data
Update model formulas based on variable screening
Estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and plotting of causal dose-response curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024) <doi:10.48550/arXiv.2305.06645>.