Simple library to help calculate and graph survival curves.

ML models to predict the probability of patient survival based on various KPI's.

Reconstructing individual-level data from published Kaplan-Meier survival curves using the method proposed by Guyot, Patricia et al (2012)

survival analysis on cirrhosis data from mayo clinic study: kaplan-meier estimator/curve, log rank test, cox proportional hazards model

A survival analysis study of ovarian carcinoma patients involved in clinical trials using R

A preprocessor to construct medical history table from data source

this repository hold the supporting code for the blog post

tracking survival rate of new employees with a best fitted model using 4 most significant personality trait parameters

Kaplan-Meier for Congestive Heart Failure Analysis

Generating Kaplan Meier plots using gene expression data

[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.

Examining how caffeine levels impact fly survival

Analyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagement Survey to identify groups with flight risk. Incorporated Survival Analysis for temporal patterns, guiding decisions to improve retention.

Survival analysis of Game of Thrones characters using Kaplan-Meier estimators, Cox regression and ElasticNet

This repository contains the exercises and workshops of the survival analysis classes based on the book by Peter J. Smith and the lecture notes of Luis Guillermo Monroy Diaz (UNAL).

Survival Models coursework - using KM, Cox models as well as graduation methods

Estimation of Transition Probabilities in Multistate Models

Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions

Classical ML algorithms implementation.

Applying KaplanMeierFitter model on Time and Events