| |  Online-Ressource |
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| Verfasst von: | Hufstedler, Heather [VerfasserIn]  |
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| | Rahman, Sabahat [VerfasserIn] |
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| | Danzer, Alexander M. [VerfasserIn] |
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| | Goymann, Hannah [VerfasserIn] |
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| | de Jong, Valentijn M.T. [VerfasserIn] |
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| | Campbell, Harlan [VerfasserIn] |
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| | Gustafson, Paul [VerfasserIn] |
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| | Debray, Thomas P.A. [VerfasserIn] |
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| | Jänisch, Thomas [VerfasserIn] |
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| | Maxwell, Lauren [VerfasserIn] |
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| | Matthay, Ellicott C. [VerfasserIn] |
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| | Bärnighausen, Till [VerfasserIn] |
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| Titel: | Systematic review reveals lack of causal methodology applied to pooled longitudinal observational infectious disease studies |
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| Verf.angabe: | Heather Hufstedler, Sabahat Rahman, Alexander M. Danzer, Hannah Goymann, Valentijn M.T. de Jong, Harlan Campbell, Paul Gustafson, Thomas P.A. Debray, Thomas Jaenisch, Lauren Maxwell, Ellicott C. Matthay, Till Bärnighausen |
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| E-Jahr: | 2022 |
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| Jahr: | May 2022 |
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| Umfang: | 10 S. |
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| Fussnoten: | Available online 16 January 2022 ; Gesehen am 27.06.2022 |
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| Titel Quelle: | Enthalten in: Journal of clinical epidemiology |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1988 |
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| Jahr Quelle: | 2022 |
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| Band/Heft Quelle: | 145(2022), Seite 29-38 |
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| ISSN Quelle: | 1878-5921 |
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| Abstract: | Objectives - Among ID studies seeking to make causal inferences and pooling individual-level longitudinal data from multiple infectious disease cohorts, we sought to assess what methods are being used, how those methods are being reported, and whether these factors have changed over time. - Study Design and Setting - Systematic review of longitudinal observational infectious disease studies pooling individual-level patient data from 2+ studies published in English in 2009, 2014, or 2019. This systematic review protocol is registered with PROSPERO (CRD42020204104). - Results - Our search yielded 1,462 unique articles. Of these, 16 were included in the final review. Our analysis showed a lack of causal inference methods and of clear reporting on methods and the required assumptions. - Conclusion - There are many approaches to causal inference which may help facilitate accurate inference in the presence of unmeasured and time-varying confounding. In observational ID studies leveraging pooled, longitudinal IPD, the absence of these causal inference methods and gaps in the reporting of key methodological considerations suggests there is ample opportunity to enhance the rigor and reporting of research in this field. Interdisciplinary collaborations between substantive and methodological experts would strengthen future work. |
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| DOI: | doi:10.1016/j.jclinepi.2022.01.008 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.1016/j.jclinepi.2022.01.008 |
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| | Volltext: https://www.sciencedirect.com/science/article/pii/S0895435622000130 |
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| | DOI: https://doi.org/10.1016/j.jclinepi.2022.01.008 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Causal inference |
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| | Individual participant data meta-analysis |
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| | Infectious disease |
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| | Methodological systematic review |
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| | Pooled data |
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| | Reporting |
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| K10plus-PPN: | 1807879046 |
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| Verknüpfungen: | → Zeitschrift |
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Systematic review reveals lack of causal methodology applied to pooled longitudinal observational infectious disease studies / Hufstedler, Heather [VerfasserIn]; May 2022 (Online-Ressource)
