Saddlepoint approximations to score test statistics in logistic regression for analyzing genome-wide association studies.

Johnsen, Pål V; Bakke, Øyvind; Bjørnland, Thea; DeWan, Andrew Thomas; Langaas, Mette

Johnsen, Pål V; Bakke, Øyvind; Bjørnland, Thea; DeWan, Andrew Thomas; Langaas, Mette.

Afiliación

Johnsen PV; Department of Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway.
Bakke Ø; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Bjørnland T; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
DeWan AT; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Langaas M; Department of Chronic Disease Epidemiology and Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.

Stat Med ; 42(16): 2746-2759, 2023 07 20.

Article en En | MEDLINE | ID: mdl-37094813

Asunto(s)

Estudio de Asociación del Genoma Completo; Polimorfismo de Nucleótido Simple; Modelos Logísticos; Estudio de Asociación del Genoma Completo/métodos; Fenotipo; Probabilidad

Palabras clave

GWAS; imbalanced binary response; logistic regression; saddlepoint approximation; score test

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stat Med Año: 2023 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido

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