Survival Analysis of Lung Cancer Patients

Assignment for the AI for Medicine Specialization course.(1:Build and Evaluate a Linear Risk model/ 2:Risk Models Using Tree-based Models/ 3:Survival Estimates that Varies with Time/ 4:Cox Proportional Hazards and Random Survival Forests)

This code is for reproducing the work found in "Estimating Waning of Vaccine Effectiveness: A Simulation Study" published in Clinical Infectious Diseases. (Clin Infect Dis. 2023 Feb 8;76(3):479-486. doi: 10.1093/cid/ciac725.)

This is my 2025 masters in statistics graduate capstone. Kaplan-Meier survival curves, Cox proportional hazards model, and diagnostics for in-hospital mortality following a myocardial infarction (heart attack)

Cox proportional hazards model implementation and example usage.

A comprehensive Python survival analysis workflow using statsmodels. Covers Kaplan-Meier estimation, log-rank tests, Cox proportional hazards regression, and alternative approaches like Nelson-Aalen and Accelerated Failure Time models with practical code examples.

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.

An enterprise-grade Workforce Intelligence System combining Survival Analysis (Cox Proportional Hazards) for time-to-event attrition modeling & a RAG-based GenAI Assistant (GPT) for HR policy retrieval. Features a fully interactive Dash interface, statistical hypothesis testing (Log-Rank/Shapiro-Wilk), vector embedding viz & explainable AI metrics.

Survival analysis of diabetic patient readmission using Cox Proportional Hazards and Random Survival Forests, focusing on time-to-event modeling, risk stratification, and clinical interpretability.

Survival analysis of a VA lung cancer RCT comparing standard vs experimental chemotherapy. Covers Kaplan–Meier estimation, Cox proportional hazards modelling, spline transforms, interaction testing, and the Aalen additive model — implemented in R and rendered with Quarto.

EHR-based observational survival analysis of ICU patients with COPD using the MIMIC-IV database. This project evaluates the association between early RAAS inhibitor exposure and in-hospital mortality using time-to-event methods.