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)

Cox proportional hazards model implementation and example usage.

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.

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.)

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.