Multilevel survival analysis
An introduction to the concepts, methods, and software of multilevel (hierarchical) survival analysis — time-to-event data where individuals are nested within clusters.
What this course covers
Register interest
Multilevel survival models handle time-to-event data where individuals are nested within higher-level units such as hospitals, regions, or trials — accounting for the clustering through random effects.
This introductory course covers the concepts, methods, and software of multilevel survival analysis. Full course details are being finalised — register your interest to be notified when enrolment opens.
Full course title: Multilevel survival analysis: An introduction to concepts, methods & software
At a glance
What you'll learn
Hierarchical data
Time-to-event data with a nested, hierarchical structure, and why clustering matters.
Random effects
Incorporating random effects (frailties) to account for clustering across levels.
Estimation & prediction
Estimating, predicting, and interpreting multilevel survival models.
Audience & prerequisites
Who it's for
Epidemiologists, statisticians, physicians, public health specialists or anyone with an interest in methods for survival analysis.
Prerequisites
A working knowledge of standard survival analysis is recommended.