Installation
About
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.
| github.com/Bella2001/causalCmprsk | |
| Bug report | File report |
Key Metrics
Downloads
| Yesterday | 8 0% |
| Last 7 days | 33 -50% |
| Last 30 days | 265 -9% |
| Last 90 days | 1.061 +24% |
| Last 365 days | 3.842 +195% |