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Debray, TPA, de Jong, VMT, Moons, KGM and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735
(2019)
Evidence synthesis in prognosis research.
Diagnostic and Prognostic Research, 3.
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Evidence synthesis in prognosis research.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Over the past few years, evidence synthesis has become essential to investigate and improve the generalizability of medical research findings. This strategy often involves a meta-analysis to formally summarize quantities of interest, such as relative treatment effect estimates. The use of meta-analysis methods is, however, less straightforward in prognosis research because substantial variation exists in research objectives, analysis methods and the level of reported evidence. We present a gentle overview of statistical methods that can be used to summarize data of prognostic factor and prognostic model studies. We discuss how aggregate data, individual participant data, or a combination thereof can be combined through meta-analysis methods. Recent examples are provided throughout to illustrate the various methods.
Item Type: | Article |
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Additional Information: | This is the final published version of the article (version of record). It first appeared online via BioMed Central at https://doi.org/10.1186/s41512-019-0059-4 - please refer to any applicable terms of use of the publisher. |
Uncontrolled Keywords: | IPD, Meta-analysis, Prediction, Prognosis, Validation |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Faculty of Medicine and Health Sciences > Primary Care Health Sciences |
Related URLs: | |
Depositing User: | Symplectic |
Date Deposited: | 08 Aug 2019 09:33 |
Last Modified: | 08 Aug 2019 09:39 |
URI: | https://eprints.keele.ac.uk/id/eprint/6648 |
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