Survival modelling using Cox proportional hazard regression model
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Updated
Mar 31, 2017 - R
Survival modelling using Cox proportional hazard regression model
Data Set on Chilean Undersecretaries (1990-2022)
ML models to predict the probability of patient survival based on various KPI's.
tracking survival rate of new employees with a best fitted Cox Proportional Hazards model using 4 most significant personality traits
Determined how long a patient is likely to survive advanced inoperable lung cancer when treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment).
survival curves in ggplot2
KM plots and Cox Proportional Hazards model for feature selection
A preprocessor to construct medical history table from data source
Survival Analysis on the patients from a trial of laser coagulation for the treatment of diabetic retinopathy. Survival times in this dataset are actual time to blindness in months, minus the minimum possible time to event (6.5 months).
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.
Kaplan-Meier for Congestive Heart Failure Analysis
Generating Kaplan Meier plots using gene expression data
Examining how caffeine levels impact fly survival
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