sachsmc/pseupersims: Simulation Study for Predicting Pseudo-observations in Survival Analysis with Superlearner

Code to run a simulation study and evaluate the results for a statistical method using superlearner run on pseudo-observations to predict the cumulative incidence of a survival outcome with competing risks. The model is then evaluated using the time dependent ROC curve which is also estimated using pseudo-observations. The method and results will appear in a forthcoming paper.

Getting started

Package details

AuthorMichael C Sachs, Andrea Discacciati, Erin E Gabriel
MaintainerMichael C Sachs <sachsmc@gmail.com>
LicenseGPL
Version1.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sachsmc/pseupersims")
sachsmc/pseupersims documentation built on June 12, 2019, 1:14 p.m.