https://www.researchgate.net/profile/Rajah_Iyer

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

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 functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression

Survival analysis in Julia

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

Kaplan-Meier-Estimator also known as the product limit estimator.

Estimation of Transition Probabilities in Multistate Models

Examining how caffeine levels impact fly survival

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

Minimal implementation of Kaplan-Meier and Cox proportional hazards models

kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.

This Project is a study of the patient’s survival rate due to heart failure condition caused by cardiovascular diseases. Various factors causing the disease were analyzed with the use of reliability analysis and software to model and predict patients’ survival.

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

Data Set on Chilean Undersecretaries (1990-2022)

Data Set on Chilean Ministers (1990-2014)

[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.

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

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

This project focuces on analysis of survival patients with Aids, with Python library Lifelines