Estimation of average treatment effects (ATE) of point interventions on time-to-event outcomes with K competing risks (K can be 1). The method uses propensity scores and inverse probability weighting for emulation of baseline randomization, which is described in Charpignon et al. (2022) <doi:10.1038/s41467-022-35157-w>.
Version: 2.0.0 Depends: R (≥ 4.0.0) Imports: survival, inline, doParallel, parallel, utils, foreach, data.table, purrr, methods Suggests: knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci, modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools Published: 2023-07-04 DOI: 10.32614/CRAN.package.causalCmprsk Author: Bella Vakulenko-Lagun [aut, cre], Colin Magdamo [aut], Marie-Laure Charpignon [aut], Bang Zheng [aut], Mark Albers [aut], Sudeshna Das [aut] Maintainer: Bella Vakulenko-Lagun <blagun at stat.haifa.ac.il> BugReports: https://github.com/Bella2001/causalCmprsk/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/Bella2001/causalCmprsk NeedsCompilation: no Materials: README CRAN checks: causalCmprsk resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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