Nonparametric and Cox-based estimation of average treatment effects in competing risks using 'causalCmprsk' package
Why causalCmprsk? | Analysis of RHC data | Reading, cleaning and preparing data | Fitting PS model and its diagnostics | Testing goodness-of-fit of a PS model | Checking overlap | Estimation of weights and balance diagnostics | Characterizing the target population | Estimating the effect of RHC on the length-of-stay | Graphical test of a proportional hazards assumption | Estimating cause-specific hazards, risk and RMT | Comparing cause-specific hazards over 3 populations | Cause-specific cumulative hazards for stabilized ATE weights | Risk curves or cumulative incidence functions (CIF) for stabilized ATE weights | RMT for stabilized ATE weights | Estimating treatment effects for stabilized ATE weights | Estimating treatment effect on the composite Length-of-Stay (LOS) for stabilized ATE weights | Estimating the effect of RHC on 30-day survival for stabilized ATE weights | Graphical test of a proportional hazards assumption | Estimating risk difference | Estimating risk ratio | Estimating difference in RMT | References
Rendered fromcmp_rsk_RHC.Rmdusingknitr::rmarkdown