Meta-analysis of joint longitudinal and time-to-event data

In many areas of medical research, interest lies in outcomes repeatedly measured over time (such as monthly blood pressure measurements, cognitive assessments, or biomarkers) and the time until some event of interest occurs (such as time until death). This type of data is known as joint longitudinal and time-to-event data, or joint data.

Joint data can be obtained from multiple different studies in a meta-analysis. In these videos, originally part of the Cochrane Learning Live webinar series, Dr Maria Sudell gives an overview of current methodology and software to perform aggregate data meta-analyses, and individual patient data meta-analyses of joint longitudinal and time-to-event outcomes.

The webinar was organized by the Cochrane Statistical Methods Group, with the support of Cochrane Membership, Learning and Support Services.

The webinar was delivered in October 2019. Below you will find the video from the webinar, together with accompanying slides to download [PDF].

Presenter bio:

Dr Maria Sudell is a MRC Skills Development Fellow based at the Department of Biostatistics, University of Liverpool. She is interested in developing methodology and software for the analysis of joint longitudinal and time-to-event data collected from multiple potentially heterogeneous data sources, such as for individual participant data meta-analyses.

Additional materials

Download the slides from the webinar [PDF]