Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name.

In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset.

Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop.

Attendance options:

In person: Choose the In person ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance.

Online: Choose the Online Zoom ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.

Sydney Informatics Hub

• Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey)
• Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc
• If you do not have a UniKey, please contact us to confirm your position after registration.

Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!