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 results |