Practical methods for incorporating summary time-to-event data into meta-analysis
MRC Clinical Trials Unit at UCL · Kleijnen Systematic Reviews (United Kingdom) · +3 more institutions
Abstract
In systematic reviews and meta-analyses, time-to-event outcomes are most appropriately analysed using hazard ratios (HRs). In the absence of individual patient data (IPD), methods are available to obtain HRs and/or associated statistics by carefully manipulating published or other summary data. Awareness and adoption of these methods is somewhat limited, perhaps because they are published in the statistical literature using statistical notation.
This paper aims to 'translate' the methods for estimating a HR and associated statistics from published time-to-event-analyses into less statistical and more practical guidance and provide a corresponding, easy-to-use calculations spreadsheet, to facilitate the computational aspects.
Citation impact
- FWCI
- 35.18
- Percentile
- 100%
- References
- 19
Authors
5- JFJayne F. TierneyCorresponding
MRC Clinical Trials Unit at UCL
- LSLesley Stewart
Kleijnen Systematic Reviews (United Kingdom), University of York
- DGDavina Ghersi
National Health and Medical Research Council, Respiratory Clinical Trials
- SBSarah Burdett
MRC Clinical Trials Unit at UCL
- MRMatthew R. Sydes
MRC Clinical Trials Unit at UCL
Topics & keywords
- Event (particle physics)
- Meta-analysis
- Systematic review
- Computer science
- Data science
- Notation
- Event data
- Data mining