| Autor: |
Thomas P.A. Debray, Valentijn M.T. de Jong, Karel G.M. Moons, Richard D. Riley |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Diagnostic and Prognostic Research, Vol 3, Iss 1, Pp 1-13 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2397-7523 |
| DOI: |
10.1186/s41512-019-0059-4 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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