This package contains functions for estimating counterfactual cumulative risk using inverse-probability weighted esimtators that account for dependent censoring and confounding. The software addresses the case of a polychotomous exposure, multiple censoring variables, with baseline predictors of treatment assignment and both baseline and time-varying predictors of censoring.

The packge contains functions to facilitate graphing of the estimated risk function and risk difference/ratio functions (and confidence intervals), which can be faceted across different analyses. The package also contains functions to create a variety of tabular output, including typical table 1 and table 2 output.

More information

For more information, go to

https://docs.novisci.com/causalRisk