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R package for fitting joint models to time-to-event data and multivariate longitudinal data
R package for fitting joint models to time-to-event and longitudinal data
Survival modelling using Cox proportional hazard regression model
An interactive shiny app to play around with hazard functions
R package for survival analysis with multiple causes of death
(Model One-Step Survival): one-step TMLE for survival curve
Survival Analysis and Visualization
Targeted Learning for Survival Analysis
An R package for generalised survival models
Reproduce the simulations in Cai W, van der Laan MJ (2019+). One-step TMLE for time-to-event outcomes.
Survival Support Vector Analysis
Treatment-specific survival curve estimation via one-step TMLE algorithm
Machine Learning for Survival Analysis
Documentation and code for Survival Shiny App
Targeted MLE with known asymptotic distribution for estimation of survival probabilities from right censored data
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