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.
Comparison of joint models for competing risks and longitudinal data
A complete pipeline to train and test DeepHit time to event prediction model using synthetic data including right censored data with competing risk.
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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