5 June 2016
Joint Models for Longitudinal and Survival Data with Stata®
The joint modelling of longitudinal and survival data has been an area of growing interest in recent years, with the benefits of the approach becoming recognized in ever widening fields of study. The models can provide both an effective way of conducting analysis of a survival endpoint (e.g. time to death), influenced by a time-varying covariate measured with error, or alternatively correct for non-random dropout in the analysis of a longitudinal outcome (e.g. a biomarker). This one-day course will provide an introduction to joint modelling through real applications to clinical trial data and electronic health records, describing the methodological framework, underlying assumptions, estimation, model building and predictions. Analyses will be conducted using the stjm package in Stata.
Michael Crowther (University of Leicester and Karolinska Institutet)
It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.
EUR 250: Students attending Summer School courses during the week pay a discounted fee of 250€ per course.
EUR 400: The fee for attending each Stata® course is 400€, but students attending Summer School courses during the week pay a discounted fee of 250€ per course.