A Powerful Test for SNP Effects on Multivariate Binary Outcomes using Kernel Machine Regression.

Davenport, Clemontina A; Maity, Arnab; Sullivan, Patrick F; Tzeng, Jung-Ying

Davenport, Clemontina A; Maity, Arnab; Sullivan, Patrick F; Tzeng, Jung-Ying.

Afiliación

Davenport CA; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27707, USA.
Maity A; Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA.
Sullivan PF; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tzeng JY; Department of Statistics, Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA. Department of Statistics, National Cheng-Kung University, Tainan, Taiwan Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.

Stat Biosci ; 10(1): 117-138, 2018 Apr.

Article en En | MEDLINE | ID: mdl-30420901

Palabras clave

IBS kernel; correlated binary responses; generalized estimating equations; kernel machine; nonparametric regression

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Stat Biosci Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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