date, graphics, nlme, MASS, mvtnorm, statmod, parallel,
doParallel, foreach, nnet, kernlab, glmnet, caret, SuperLearner

R (>= 3.6.0), splines, survival, relsurv, riskRegression
date, graphics, nlme, MASS, mvtnorm, statmod
c(
person("Yohann", "Foucher", email = "Yohann.Foucher@univ-nantes.fr", role = c("aut", "cre")),
person("Florent", "Le Borgne", email = "fleborgne@idbc.fr", role = "aut"),
person("Etienne", "Dantan", email = "Etienne.Dantan@univ-nantes.fr", role = "aut"),
person("Florence", "Gillaizeau", email = "Florence.Gillaizeau@univ-nantes.fr", role = "aut"),
person("Arthur", "Chatton", email = "arthur.chatton@etu.univ-nantes.fr", role = "aut"),
person("Christophe", "Combescure", email = "christophe.combescure@hcuge.ch", role = "aut"))
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-dependant ROC curves (Combescure, 2017, <doi: 10.1177/0962280212464542>) or survival curves (Combescure, 2014, <doi: 10.1002/sim.6111>) from aggregated data.
Yohann Foucher [aut, cre],
Florent Le Borgne [aut],
Etienne Dantan [aut],
Florence Gillaizeau [aut],
Arthur Chatton [aut],
Christophe Combescure [aut]