Survival Analysis - Online Course

For the last 25 years, Dr. Paul Allison has been teaching his acclaimed two-day seminar on Survival Analysis to audiences around the world. Now you can take that course in a convenient, on-demand format. This seminar covers both the theory and practice of statistical methods for event-time data. You will receive a thorough introduction to such topics as censoring, Kaplan-Meier estimation, Cox regression, discrete-time methods, competing risks, and repeated events.

The course takes place in a series of four weekly installments of videos, quizzes, readings, and assignments, and requires about 6-8 hours/week. You can participate at your own convenience; there are no set times when you are required to be online. The course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of 10 modules:

    1. Elementary Concepts of Survival Analysis
    2. Univariate Survival Analysis
    3. The Kaplan-Meier Method
    4. Cox Regression
    5. Time-dependent Covariates
    6. Competing Risks
    7. Discrete Time Analysis
    8. Some Tools and Tests
    9. Models for Non-proportional Hazards
    10. Repeated Events

The modules contain videos of the live, 2-day version of the course in its entirety. Each module is followed by a short multiple-choice quiz to test your knowledge. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.

Each week, there are 2-3 assigned articles to read. There is also an online discussion forum where you can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. Allison.

Downloadable course materials include the following pdf files:

    • All slides displayed in the videos.
    • Exercises for each week.
    • Readings for each week.
    • Computer code for all exercises (in SAS, Stata, and R formats).
    • A certificate of completion.
Starts:  Apr 8, 2024 09:00 (ET)
Ends:  May 6, 2024 17:00 (ET)

Location