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Bias in the reporting of sex and age in biomedical research on mouse models.
Flórez-Vargas, Oscar; Brass, Andy; Karystianis, George; Bramhall, Michael; Stevens, Robert; Cruickshank, Sheena; Nenadic, Goran.
Afiliación
  • Flórez-Vargas O; Bio-health Informatics Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Brass A; Bio-health Informatics Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Karystianis G; Text Mining Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Bramhall M; Bio-health Informatics Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Stevens R; Bio-health Informatics Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
  • Cruickshank S; Manchester Immunology Group, Faculty of Life Science, The University of Manchester, Manchester, United Kingdom.
  • Nenadic G; Text Mining Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
Elife ; 52016 Mar 03.
Article en En | MEDLINE | ID: mdl-26939790
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sesgo de Selección / Investigación Biomédica / Modelos Animales de Enfermedad Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Elife Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sesgo de Selección / Investigación Biomédica / Modelos Animales de Enfermedad Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Elife Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido