Your browser doesn't support javascript.
loading
The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research.
Kennedy, Amy E; Khoury, Muin J; Ioannidis, John P A; Brotzman, Michelle; Miller, Amy; Lane, Crystal; Lai, Gabriel Y; Rogers, Scott D; Harvey, Chinonye; Elena, Joanne W; Seminara, Daniela.
  • Kennedy AE; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland.
  • Khoury MJ; Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Ioannidis JP; Department of Medicine, Stanford University, Stanford, California. Department of Health Research and Policy, Stanford University, Stanford, California. Department of Statistics, Stanford University, Stanford, California. Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Sta
  • Brotzman M; Westat, Rockville, Maryland.
  • Miller A; Westat, Rockville, Maryland.
  • Lane C; Office of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, Maryland.
  • Lai GY; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland.
  • Rogers SD; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland.
  • Harvey C; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland.
  • Elena JW; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland.
  • Seminara D; Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland. seminard@mail.nih.gov.
Cancer Epidemiol Biomarkers Prev ; 25(10): 1392-1401, 2016 10.
Article en En | MEDLINE | ID: mdl-27439404
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Año: 2016 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Año: 2016 Tipo del documento: Article