Fast Best-Subset Selection Library
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Updated
May 30, 2024 - C++
Fast Best-Subset Selection Library
risk assessment
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
Survival Analysis through the integration of expression data, phenotype data, and clinical data
Survival analysis in Julia
A short comparison of the optimal survival tree algorithm (Bertsimas et al.) with cox proportional hazards model and other tree method
Explainable Machine Learning in Survival Analysis
Resources for Survival Analysis
Use of clinical EHR data and codelists to investigate all-cause mortality between proton pump inhibitor (PPI) and histamine H2-receptor antagonist (H2RA) exposure groups.
🍊 ➕ Survival Analysis add-on for Orange3 data mining suite.
Survival learners for the `mlexperiments` R 📦
Survival analysis in Python
Data Science Blog
Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)
Extended diagnostic and visualization tools for Cox proportional hazard models in R
SurvSHAP(t): Time-dependent explanations of machine learning survival models
A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer
Implementation of Cox Proportional Hazards in Heart Failure Survival Modeling
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