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

This methodological framework can be applied in association studies when an imperfect test is used as an indicator of a disease and the disease status has been validated in a subset of the sample. We extended previous works to deal with not at random selection of this validated sample.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-12-01
DOI
https://doi.org/10.1186/s12874-025-02698-9
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

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

Emmanuelle Correia, Fanny Artaud, Grégory Pannetier, Sofiane Kab et al.
BMC Medical Research Methodology
Advanced Causal Inference Techniques
article

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

Emmanuelle Correia, Fanny Artaud, Grégory Pannetier, Sofiane Kab, Hélène Blanché, Alpha Amadou Barry, Fabien Szabo de Edelenyi, Mélody Enguix, Emmanuel Wiernik, Läétitia Ninove, Marcel Goldberg, Souand Mohamed Ali, Mélanie Deschasaux, Jean-Christophe Beaudoin, Stéphane Le-Got, Valérie Deldrève, Toscane Fourié, Nathalie Druesne‐Pecollo, Paola Mariela Saba Villarroel, Céline Ribet, Boris Pastorino, Jean-Marc Sébaoun, Abdenour Amroun, Xavier Nicolas de Lamballerie, Morgan Seston, Younes Esseddik, Roselyn Gomes-Rima, Cédric Lemogne, Nadège Senina, Clovis Lusivika‐Nzinga, Nazlı Ayhan, Marie Zins, Ouissam Ouili, Pascale Gerbouin-Rérolle, C Laplanche, Lyan Hoang, Stéphane Priet, Adeline Renuy, Nathanaël Lapidus, Isabelle Goderel, Gianluca Severi, Laëtitia Gressin, Olivier Robineau, Benjamin Glémain, Jean-François Deleuze, Mathilde Touvier, Serge Hercberg, Julien Allègre, Jérôme Nicol, Fabrice Carrat, Céline Dorival, Júlia Lacombe Ossó
article en

Abstract

This methodological framework can be applied in association studies when an imperfect test is used as an indicator of a disease and the disease status has been validated in a subset of the sample. We extended previous works to deal with not at random selection of this validated sample.

BMC Medical Research MethodologyVol. 25(1)
Inserm (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Université Paris Cité (FR), Université de Lille (FR), Université Paris-Saclay (FR), Fondation Jean Dausset-CEPH (FR), Sorbonne Université (FR), Méditerranée Infection Foundation (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Université Sorbonne Paris Nord (FR), Sorbonne Paris Cité (FR), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Saint-Antoine (FR), Centre de recherche en Epidémiologie et Santé des Populations (FR), Centre Hospitalier de Tourcoing (FR), Hôtel-Dieu de Paris (FR), Institut Pierre Louis d‘Épidémiologie et de Santé Publique (FR), Equipe de Recherche en Epidémiologie Nutritionnelle (FR), Hôtel-Dieu de Lyon (FR), Institut de Recherche pour le Développement (FR), Centre de Recherche Épidémiologie et Statistique (FR), Cohortes épidémiologiques en population (FR), University of Florence (IT)
Openalex Percentile: Top 65%
Advanced Causal Inference Techniques
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