A complete pipeline to train and test DeepHit time to event prediction model using synthetic data including right censored data with competing risk.

Fits the mixed cumulative incidence function models suggested by Cederkvist et al (2018; https://doi.org/10.1093%2Fbiostatistics%2Fkxx072) which decomposes within cluster dependence of risk and timing.

Comparison of joint models for competing risks and longitudinal data

TimeMetric (formerly PAmeasure): An R package providing a comprehensive suite of performance metrics (R², C-indices, Brier Score, time-dependent AUC) for survival models with right-censoring, competing risks, and specialized designs (case–cohort, nested case–control).

Latent space competing risk model for response and response time analysis