Looking for a freelance biostatistician to perform Kaplan-Meier and Cox regression analysis on a dataset of 250 cardiac patients to identify factors affecting 12-month survival post-surgery. Data includes age, sex, comorbidities, surgery type, follow-up time, and event status. Deliver SPSS or R output with a short interpretation.

I am looking for someone who is familiar with R and can run data for a mixed-effects model to help create a predictive algorithm. This project is in the male fertility space, and we are examining specimen parameters at different time points.