#
cox-proportional-hazard
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Survival Analysis of Lung Cancer Patients
Updated
Jul 26, 2022
Jupyter Notebook
A Python distribution of iCARE, a tool for individualized Coherent Absolute Risk Estimation.
Updated
Jul 5, 2024
Python
Breast Cancer Survival Analysis using SAS on METABRIC dataset to identify key survival factors with Kaplan-Meier, Cox models, and gamma distributions
Exploring disparities in the COMPAS algorithm: an analysis of recidivism predictions among demographic groups.
Methodology research comparing statistical and ML methods of competing risks analysis
KM plots and Cox Proportional Hazards model for feature selection
This repository contains Python code for performing Cox proportional hazards model analysis tailored to crossover study designs.
Updated
Jul 28, 2024
Jupyter Notebook
survival analysis on cirrhosis data from mayo clinic study: kaplan-meier estimator/curve, log rank test, cox proportional hazards model
CoxKAN: Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis
Updated
Aug 19, 2024
Jupyter Notebook
A JavaScript wrapper for the WebAssembly module of iCARE Python (pyicare) package.
Updated
Jul 5, 2024
JavaScript
Updated
Nov 14, 2024
Jupyter Notebook
Federated algorithm for coxph in Vantage6 v4
Updated
Oct 1, 2024
Python
Python implementation of extracting body weight dynamics in diversity outbred mice using ARHMM.
Updated
Feb 25, 2025
Jupyter Notebook
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