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>.
Last updated 2 years ago
4.48 score 3 stars 8 scripts 294 downloadscoxrt - Cox Proportional Hazards Regression for Right Truncated Data
Fits Cox regression based on retrospectively ascertained times-to-event. The method uses Inverse-Probability-Weighting estimating equations.
Last updated 6 years ago
openblascpp
2.70 score 7 scripts 167 downloads