Nonparametric and Cox-Based Estimation of ATE in Competing Risks


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Documentation for package ‘causalCmprsk’ version 1.0.3

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causalCmprsk Estimation of Average Treatment Effects (ATE) on Time-to-Event Outcomes with Competing Events
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 corresponding to a specific time point
get.weights Fitting a logistic regression model for propensity scores and estimating weights