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Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines.
Grajeda, Laura M; Ivanescu, Andrada; Saito, Mayuko; Crainiceanu, Ciprian; Jaganath, Devan; Gilman, Robert H; Crabtree, Jean E; Kelleher, Dermott; Cabrera, Lilia; Cama, Vitaliano; Checkley, William.
Afiliación
  • Grajeda LM; Program in Global Disease Control and Epidemiology, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Ivanescu A; Department of Mathematical Sciences, Montclair State University, Montclair, NJ USA.
  • Saito M; Program in Global Disease Control and Epidemiology, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Crainiceanu C; Asociación Benéfica PRISMA, Lima, Peru.
  • Jaganath D; Departamento de Microbiología, Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Gilman RH; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Crabtree JE; Program in Global Disease Control and Epidemiology, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Kelleher D; Program in Global Disease Control and Epidemiology, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
  • Cabrera L; Asociación Benéfica PRISMA, Lima, Peru.
  • Cama V; Departamento de Microbiología, Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Checkley W; Leeds Institute of Molecular Medicine, St James's University Hospital, Leeds, UK.
Emerg Themes Epidemiol ; 13: 1, 2016.
Article en En | MEDLINE | ID: mdl-26752996
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Emerg Themes Epidemiol Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Emerg Themes Epidemiol Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos