Explainable Machine Learning in Survival Analysis
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Updated
Jun 15, 2024 - R
Explainable Machine Learning in Survival Analysis
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Survival modelling using Cox proportional hazard regression model
Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)
Multiresponse time-to-event Cox proportional hazards model - CPU
Smooth Hazard Ratio Curves Taking a Reference Value
Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)
Survival analysis in R for Public Health (Imperial College London through Coursera)
This repository contains an R script for performing survival analysis on breast cancer surgery data from the University of Chicago's Billings Hospital. The analysis includes Kaplan-Meier estimation and Cox Proportional Hazards modeling to assess patient survival.
air pollution and mortality/readmission in ADRD population with Medicare data
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