A non-technical overview of of the proportional hazards assumption; what it is, how to test it, and how to proceed with analysis and reporting in the presence of non-proportional hazards.
A non-technical overview of concepts and methods for estimating the survival of cancer patients using data collected by population-based cancer registries.
Introduction to understanding interaction effects. The lecture describes how to interpret parameter estimates, in both main effects and interaction models, but with a specific emphasis on interactions. Examples use Cox regression, but the principles apply to all models.
An introcuction to flexible parametric survival models and how I use them in my research
Introduction to the Cox proportional hazards regression model.
Understanding the proportional hazards assumption. Testing for proportional hazards. Relaxing the proportional hazards assumption.
An overview of some concepts in survival analysis
I didn't develop flexible parametric survival models, but I am an avid fan. Some of my methods research (with Paul Lambert and others) has involved extending flexible parametric models. This talk (based on a talk by Paul Lambert) describes why and …
An overview of methods presented for clinicians