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: 0.9
Depends: R (≥ 2.10), splines, survival, relsurv
Imports: date, graphics, nlme, MASS, mvtnorm, statmod, parallel, doParallel, foreach, nnet, kernlab, glmnet, caret, SuperLearner
Published: 2020-11-18
Author: Yohann Foucher ORCID iD [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


Reference manual: RISCA.pdf
Package source: RISCA_0.9.tar.gz
Windows binaries: r-devel: RISCA_0.9.zip, r-release: RISCA_0.9.zip, r-oldrel: RISCA_0.9.zip
macOS binaries: r-release: RISCA_0.9.tgz, r-oldrel: RISCA_0.9.tgz
Old sources: RISCA archive

Reverse dependencies:

Reverse suggests: hrIPW


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