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Family-specific approaches to the analysis of case-control family data.
Neuhaus, J M; Scott, A J; Wild, C J.
Afiliación
  • Neuhaus JM; Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94143-0560, USA. john@biostat.ucsf.edu
Biometrics ; 62(2): 488-94, 2006 Jun.
Article en En | MEDLINE | ID: mdl-16918913
Case-control studies augmented by the values of responses and covariates from family members allow investigators to study the association between the response and genetics and environment by relating differences in the response directly to within-family differences in covariates. However, existing approaches for case-control family data parameterize covariate effects in terms of the marginal probability of response, the same effects that one estimates from standard case-control studies. This article focuses on the estimation of family-specific covariate effects and develops efficient methods to fit family-specific models such as binary mixed-effects models. We also extend the approach to cover any setting where one has a fully specified model for the vector of responses in a family. We illustrate our approach using data from a case-control family study of brain cancer and consider the use of weighted and conditional likelihood methods as alternatives.
Asunto(s)
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios de Casos y Controles / Biometría Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Biometrics Año: 2006 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios de Casos y Controles / Biometría Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Biometrics Año: 2006 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos