Data Science Institute: Survival Analysis

June 14, 2019 - 8:30am - 12:30pm: Survival Analysis - Dr. Frederick Boehmke

Introduction to Survival Analysis will cover the basics of specifying, estimating, and interpreting discrete-time and continuous-time survival models. Survival models are appropriate for time-to-event data used in the social and health sciences, among other disciplines, and can be analyzed with logit and probit models, with parametric models including the Weibull, or with the Cox semi-parametric estimator. The workshop will cover many of the important features and key decisions for these models and touch on a few extensions such as competing risks, repeated failures, and cure models. Stata code and exercises will be provided and worked through – a basic knowledge of Stata will be helpful but is not essential.

To see the full schedule, click here.