Multiresponse time-to-event Cox proportional hazards model - CPU
end-to-end survival analysis on 15,054 breast cancer patients using Kaplan–Meier, Cox PH, and Weibull AFT models to identify prognostic factors and evaluate survival outcomes
Reference Survival Regression Modelling using Bayesian inference and a Bayesian workflow, specifically using the `pymc` & `arviz` ecosystem.
Survival analysis of DirtSlurper3100 warranty data — characterizing component lifetimes (Battery, IR sensor, Impact sensor) using Kaplan-Meier estimation, Cox regression, and reliability modeling.
this repository hold the supporting code for the blog post
Add a description, image, and links to the cox-ph topic page so that developers can more easily learn about it.
To associate your repository with the cox-ph topic, visit your repo's landing page and select "manage topics."