Leandre Sabourin·Oct 14The Cox Proportional Hazards Model: Combining Survival Analysis and Regression in One FrameworkIn my previous article, we learned that the Kaplan–Meier estimator is a useful tool for understanding how survival changes over time. It…A response icon3A response icon3
Usha Govindarajulu·Sep 14Statistical issues in survival analysis (adaptive Lasso for Cox model)September 10, 2026
Alex Yorov·Mar 13DeepSurv — personalized treatment recommendation with a Cox-style deep neural network — a…Paper: Katzman et al., BMC Medical Research Methodology (2018)
Ekaterina Leushina·Nov 8, 2025Uncovering Hidden Risks in Medicine: A Guide to Frailty Models in Survival AnalysisFrailty Models in Python: A Practical Survival Analysis Toolkit
Ritu Bansal·Aug 22, 2025Timing Is Everything: How Survival Analysis Answers the ‘When’ QuestionWhen we think about data-driven decisions, it’s easy to answer what is happening and who it’s happening to. We can see what percentage of…
Ekaterina Leushina·Jun 18, 2025How to Use the Cox PH Model in Survival Analysis — With Plots and Python CodeFrom input data to hazard ratios and Schoenfeld residuals — everything you need to get started with Cox regression
Ekaterina Leushina·Jun 14, 2025Mapping the Landscape of Semi-Parametric Models in Survival AnalysisSurvival Models Beyond Kaplan-Meier: A Practical Roadmap
InKlaviyo EngineeringbySteven Her·Jun 13, 2024Hang On, What’s Survival Analysis?This was a new area for the two of us, so we decided to write a post to help others in the same spot.
ChenDataBytes·Nov 8, 2023Customer Lifetime Value Prediction: Part 2 — Survival RateCLV Prediction for New Customers
