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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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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
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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