Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks

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Documentation for package ‘causalCmprsk’ version 2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

causalCmprsk	Estimation of Average Treatment Effects (ATE) of Point Intervention on Time-to-Event Outcomes with Competing Risks
fit.cox	Cox-based estimation of ATE corresponding to the target population
fit.nonpar	Nonparametric estimation of ATE corresponding to the target population
get.numAtRisk	Number-at-risk in raw and weighted data
get.pointEst	Returns point estimates and 'conf.level'% confidence intervals corresponding to a specific time point
get.weights	Fitting a logistic regression model for propensity scores and estimating weights
summary.cmprsk	Summary of Event-specific Cumulative Hazards, Cumulative Incidence Functions and Various Treatment Effects