Short Course: Survival Analysis in R, 20-22 October 2026

Course Overview This is a practical course that will take you through an introduction to survival analysis. We will explore different models used to analyse time-to-event data, including: • Kaplan-Meier estimator • Cox proportional-hazards model • Competing risk regression You will learn how to use these models to compare outcomes between groups, how to decide which model is suited for your analysis needs. We will discuss the underlying assumptions of the different survival models, how to check them, and what to do if they are violated. Prerequisites We assume knowledge of introductory statistics, including principles of study design, the concept of a p-value, the concept of a confidence interval, the basics of null-hypothesis testing, and how to interpret simple regression models. All of these are covered in our Introduction to Statistics courses. We encourage you to enroll in our Introduction to R course, May 4 and watch the Seminar Recording below before attending this course. Course requirements: You will need to bring and use your own computer during the workshop. Presenters and Expertise: Peter Humburg, Senior Statistical Consultant and Luz Palacios-Derflingher Biostatistician, UNSW Stats Central Date: 20-22 October 2026 Time: 9.30am - 4.00pm, each day Delivery Mode: In-Person ONLY Location: AGSM LG06 You will receive a certificate of completion for the course. NOTE: Course materials will be sent out closer to the course date so ensure you provide a correct email address. You will be expected to watch this SEMINAR on study design and statistical principles (samples and populations, confounding, statistical inference) ahead of the workshop. Note: If you have a funding support and would like to pay by "Internal Funding Payment", please contact us [email protected].** Thank you! FAQs How can I contact the organiser with any questions? Please send us an email at: [email protected]