Explainable Machine Learning in Survival Analysis

R package for fitting joint models to time-to-event and longitudinal data

Analysis of Multivariate Event Times https://kkholst.github.io/mets/

Event Prediction in Clinical Trials with Time-to-Event Outcomes

Prepare electronic medical record data from the UK Biobank for time-to-event analyses

msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.

An R package for seed germination assays

Extension to the eventPrediction package for N-piecewise Weibull and lagtimes

GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes

An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).

Probabilistically labelling recurrent vivax infections using time-to-event and microsatellite data

Time-to-event methods for agriculture

Complete survival analysis helper functions, including stratification, diagnostics and performance checks

R package for simulation of continuous time Markov chains

Causal Effects in Principal Strata Defined by Antidrug Antibodies