Dealing with differential misclassification of an outcome or a covariate in association studies with an internally validated sample selected not at random.

Abstract Background To present an analytical framework for correcting misclassification when an imperfect test is used as an indicator of a disease in association studies, taking into account that part of the sample has joint test and disease data. Methods We explored two scenarios, depending on whe...

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Bibliografiske detaljer

Principais autores:	Júlia Lacombe Ossó, Benjamin Glemain, Céline Dorival, Hélène Blanché, Cédric Lemogne, Jean-François Deleuze, Olivier Robineau, Mathilde Touvier, Gianluca Severi, Marie Zins, SAPRIS-SERO study group, Xavier de Lamballerie, Fabrice Carrat
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2025-12-01
Serier:	BMC Medical Research Methodology
Fag:	Epidemiologic Biases Differential Misclassification Imperfect Test MCAR MAR MNAR
Online adgang:	https://doi.org/10.1186/s12874-025-02698-9
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