Foundations of Survival Analysis
Details
Have you ever heard of survival models?
In this presentation we will introduce the basic concepts of survival models and build models interactively using R.
Survival models are used in many applications, from predicting when a bond will default to a drug's impact on patient survival in clinical trials.
This workshop assumes no prior knowledge and introduces modeling techniques from first principles. Survival models are build using R.
==== WE'LL BRIEFLY GO OVER ====
- Applications of survival models in different industries
- Theory behind Survival modeling
- Error Metrics used in Survival Modeling
- Building Models: Parametric, Semi-Parametric, and non-parametric
=== PRESENTER ===:
Dallam Masterson is a data scientist at Pegged software where he uses his background as an engineer, actuary and statistician to develop sophisticated predictive models.
He has worked as a Data Scientist/Computational Statistician for startups, boutique analytics firm (Merkle) and as an actuary at (AEGON Americas). He has technical expertise in a variety of machine learning and statistical techniques, which he's always happy to chat about.
Dallam received his MSc., Statistics from Rice University and obtained his BSc. in Operations Research and Information Engineering from Cornell.
=== AGENDA ===:
6:30 - 7:00 Mingle & meet new people!
7:00 - 7:05 Intros and announcements
7:05 - 8:10ish Presentation/Q&A
then off to Data Drinks!
*For those who attend, you will receive a link to code and slides (after the presentation) so that you can build your own models!