Learn how to effectively analyze survival data using Stata. We cover censoring, truncation, hazard rates, and survival functions. Topics include data preparation, descriptive statistics, life tables, Kaplan–Meier curves, and semiparametric (Cox) regression and parametric regression. Discover how to set the survival-time characteristics of your dataset just once then apply any of Stata's many estimators and statistics to that data.
Written for everyone who uses Stata, whether health researchers or social scientists. We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.
Note: This course is platform independent. You can use Stata on Windows, Mac or Linux.
Lesson 1: Introduction to survival analysis
Lesson 2: Setting and summarizing survival data
Lesson 3: Setting and summarizing survival data
Note: There is a one-week break between the posting of Lessons 3 and 4; however, course leaders are available for discussion.
Lesson 4: Regression models — Cox proportional hazards
Lesson 5: Regression models — Parametric survival models