Meta-analysis of time-to-event data

Time-to-event data, such as time to death or time to first seizure, are commonly used outcomes in medical research to summarise the length of time taken for a particular event of interest to occur. In these videos, originally part of the Cochrane Learning Live webinar series, Catrin Tudur Smith explains how to undertake a meta-analysis of time-to-event data.

Methods for analysis of time-to-event data need to account for both the time to event and any related but unobserved events. Meta-analysis of time-to-event outcomes can be undertaken using data extracted from trial reports using a variety of different methods that will be described in this webinar.  

Below you will find videos from the webinar, the accompanying slides to download [PDF], the practical and the solutions.

Part 1: Analysis of time-to-event data from a single trial

Part 2: Meta-analysis of (aggregate) time-to-event data

Part 3: Practical and conclusions

Presenters:

Catrin Tudur Smith, Professor of Biostatistics, Department of Biostatistics, University of Liverpool, UK; Co-convenor of Cochrane Statistical Methods Group.


 

Part 1: Analysis of time-to-event data from a single trial


Part 2: Meta-analysis of (aggregate) time-to-event data


Part 3: Practical and conclusions

Author information: 
Tudur Smith, Catrin