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Data gaps and opportunities for modeling cancer health equity.
Trentham-Dietz, Amy; Corley, Douglas A; Del Vecchio, Natalie J; Greenlee, Robert T; Haas, Jennifer S; Hubbard, Rebecca A; Hughes, Amy E; Kim, Jane J; Kobrin, Sarah; Li, Christopher I; Meza, Rafael; Neslund-Dudas, Christine M; Tiro, Jasmin A.
Afiliación
  • Trentham-Dietz A; Department of Population Health Sciences and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
  • Corley DA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
  • Del Vecchio NJ; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Greenlee RT; Marshfield Clinic Research Institute, Marshfield, WI, USA.
  • Haas JS; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Hubbard RA; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Hughes AE; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Kim JJ; Department of Health Policy and Management, Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Kobrin S; Healthcare Delivery Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
  • Li CI; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Meza R; Department of Integrative Oncology, British Columbia (BC) Cancer Research Institute, Vancouver, BC, Canada.
  • Neslund-Dudas CM; Department of Public Health Sciences and Henry Ford Cancer, Henry Ford Health, Detroit, MI, USA.
  • Tiro JA; Department of Public Health Sciences, University of Chicago Biological Sciences Division, and University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA.
J Natl Cancer Inst Monogr ; 2023(62): 246-254, 2023 11 08.
Article en En | MEDLINE | ID: mdl-37947335
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Equidad en Salud / Neoplasias Límite: Female / Humans / Male Idioma: En Revista: J Natl Cancer Inst Monogr Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Equidad en Salud / Neoplasias Límite: Female / Humans / Male Idioma: En Revista: J Natl Cancer Inst Monogr Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos