Causal Inference with Continuous (Multiple Time Point) Interventions
Calculate outcome weights to address positivity violations
Causal Inference with Continuous (Multiple Time Point) Interventions
Counterfactual contrast from the parametric or sequential g-formula fo...
Custom estimands after applying gformula
Estimate Feasible Intervention Strategies
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
Update GAM models
Marginal structural model from the parametric g-formula for continuous...
Plot Method for feasible objects
Plot dose-response curves
Printing a contrastResult object
Print method for feasible objects
Printing the results of a gformula object
Printing a msmResult object
Helper function to calculate proportions of categorical variables
Sequential g-formula for continuous multiple time point interventions
Summarize a feasible object
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>.