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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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Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2025-12-01
Reeks:BMC Medical Research Methodology
Onderwerpen:
Epidemiologic Biases
Differential Misclassification
Imperfect Test
MCAR
MAR
MNAR
Online toegang:https://doi.org/10.1186/s12874-025-02698-9
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