Latent space competing risk model for response and response time analysis
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Updated
Dec 28, 2022 - R
Latent space competing risk model for response and response time analysis
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.
A complete pipeline to train and test DeepHit time to event prediction model using synthetic data including right censored data with competing risk.
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).
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