Diversity of the quality of data collection in a registry: Proposal of an analysis approach and application to the REIN registry
Type de matériel :
TexteLangue : français Détails de publication : 2023.
Sujet(s) : Ressources en ligne : Abrégé : Missing data can lead to bias and loss of information in epidemiological research. In this article, we propose an approach for analyzing missing data on comorbidity variables in a registry, with consideration of the territorialized organization of the collection. To illustrate this approach, we used the national REIN registry as an application case.
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Missing data can lead to bias and loss of information in epidemiological research. In this article, we propose an approach for analyzing missing data on comorbidity variables in a registry, with consideration of the territorialized organization of the collection. To illustrate this approach, we used the national REIN registry as an application case.
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