Accelerated Oblique Random Survival Forests

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Interactive R package to quantify, analyse and visualise alternative splicing

QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival outcomes. Flexible, unconstrained, fast and guided by modern causal inference principles

Online course on statistical modeling in population ecology. Includes instructional videos with associated code and data.

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

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

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

ClinicoPath jamovi Module

Epidemiological analysis for population-based data.

Survival analysis for mlr3

Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)

Survival modelling using Cox proportional hazard regression model

Survival learners for the `mlexperiments` R 📦

Kendall's Tau for Two-Sample Inference Problems

Gene signature analysis of TCGA glioblastoma data

A package for analyzing genetic data for association with phenotypes

Network-Based Regularization for Generalized Linear Models

Plot predicted survival with colored contour plot using various methods

The development version of the frailtyEM R package, that fits several types of shared frailty models