RISCA: Causal Inference and Prediction in Cohort-Based Analyses
We propose numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events (Le Borgne, 2016, <doi:10.1002/sim.6777>), competing events (Trebern-Launay, 2018, <doi:10.1007/s10654-017-0322-3>), and multi-state data (Gillaizeau, 2018, <doi:10.1002/sim.7550>). For multistate data, semi-Markov model with interval censoring (Foucher, 2008, <doi:10.1177/0962280208093889>) may be considered and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables (Gillaizeau, 2017, <doi:10.1177/0962280215586456>). For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders (Le Borgne, 2018, <doi:10.1177/0962280217702416>). Finally, several functions are available to assess time-dependent ROC curves (Combescure, 2017, <doi:10.1177/0962280212464542>) or survival curves (Combescure, 2014, <doi:10.1002/sim.6111>) from aggregated data.
Version: |
0.8.2 |
Depends: |
R (≥ 2.10), splines, survival, relsurv |
Imports: |
date, graphics, nlme, MASS, mvtnorm, statmod, parallel, doParallel, foreach, nnet, kernlab, glmnet, caret, SuperLearner |
Published: |
2020-04-05 |
Author: |
Yohann Foucher
[aut, cre],
Florent Le Borgne [aut],
Etienne Dantan [aut],
Florence Gillaizeau [aut],
Arthur Chatton [aut],
Christophe Combescure [aut] |
Maintainer: |
Yohann Foucher <Yohann.Foucher at univ-nantes.fr> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
www.labcom-risca.com |
NeedsCompilation: |
no |
CRAN checks: |
RISCA results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=RISCA
to link to this page.