Summer School · Joint modelling
A week-long summer-school course on joint modelling of longitudinal and survival data, with real applications to clinical-trial data and electronic health records.
What this course covers
Past edition
This week-long course introduces joint modelling of longitudinal and survival data through real applications to both clinical-trial data and electronic health records, using examples in cancer, liver cirrhosis, and cardiovascular disease.
Participants study the methodological framework, underlying assumptions, estimation, model building, and predictions, along with extensions such as multiple biomarkers and competing risks. Teaching combines lectures, classroom exercises, and computing exercises in Stata (stjm and merlin), with R solutions provided.
Full course title: Summer School on Modern Methods in Biostatistics and Epidemiology: Joint modelling of longitudinal and survival data
At a glance
What you'll learn
Methodological framework
The joint-modelling framework, underlying assumptions, and estimation.
Model building
Building joint models and generating predictions.
Real applications
Worked applications in cancer, liver cirrhosis, and cardiovascular disease, on trial data and EHRs.
Extensions
Extensions including multiple biomarkers and competing risks.
Audience & prerequisites
Who it's for
Researchers and statisticians in biostatistics and epidemiology with an interest in joint modelling.
Prerequisites
Familiarity with survival analysis and with longitudinal mixed-effects models is beneficial.