Nonparametric and Cox-Based Estimation of ATE in Competing Risks

Estimation of average treatment effects (ATE) of two static treatment regimes on time-to-event outcomes with K competing events (K can be 1). The method uses propensity scores weighting for emulation of baseline randomization.


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1.0.3 by Bella Vakulenko-Lagun, 3 months ago

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Authors: Bella Vakulenko-Lagun , Colin Magdamo , Marie-Laure Charpignon , Bang Zheng , Mark Albers , Sudeshna Das

Documentation:   PDF Manual  

GPL (>= 2) license

Imports survival, inline, doParallel, parallel, utils, foreach, data.table, purrr

Suggests knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci, modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools, kableExtra

See at CRAN