causalCmprsk
Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks
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.
- Version2.0.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/04/2023
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Team
Bella Vakulenko-Lagun
Colin Magdamo
Show author detailsRolesAuthorMarie-Laure Charpignon
Show author detailsRolesAuthorBang Zheng
Show author detailsRolesAuthorMark Albers
Show author detailsRolesAuthorSudeshna Das
Show author detailsRolesAuthor
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- Imports6 packages
- Suggests13 packages