A protocol for data harmonization in large cohorts

A protocol for data harmonization in large cohorts

This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.

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Veröffentlicht in:Nature mental health 2024-10, Vol.2 (10), p.1134-1137
Hauptverfasser: Neidhart, Maja, Kjelkenes, Rikka, Jansone, Karina, Rehák Bučková, Barbora, Holz, Nathalie, Nees, Frauke, Walter, Henrik, Schumann, Gunter, Rapp, Michael A., Banaschewski, Tobias, Schwarz, Emanuel, Marquand, Andre
Format: Artikel
Sprache:eng
Schlagworte:
706/134
706/648/697
Behavioral Science and Psychology
Bias
Comment
Discriminant analysis
Medical imaging
Mental health
Neuroimaging
Neuropsychology
Psychology
Quantitative psychology
Statistical methods
Variables
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Beschreibung
Zusammenfassung:This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.
ISSN:2731-6076
2731-6076
DOI:10.1038/s44220-024-00315-0