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A progressive three-state model to estimate time to cancer: a likelihood-based approach.
Akwiwu, Eddymurphy U; Klausch, Thomas; Jodal, Henriette C; Carvalho, Beatriz; Løberg, Magnus; Kalager, Mette; Berkhof, Johannes; Coupé, Veerle M H.
Afiliação
  • Akwiwu EU; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health, Amsterdam, The Netherlands. e.akwiwu@amsterdamumc.nl.
  • Klausch T; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health, Amsterdam, The Netherlands.
  • Jodal HC; Clinical Effectiveness Research Group, University of Oslo and Oslo University Hospital, Oslo, Norway.
  • Carvalho B; Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Løberg M; Clinical Effectiveness Research Group, University of Oslo and Oslo University Hospital, Oslo, Norway.
  • Kalager M; Clinical Effectiveness Research Group, University of Oslo and Oslo University Hospital, Oslo, Norway.
  • Berkhof J; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health, Amsterdam, The Netherlands.
  • Coupé VMH; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health, Amsterdam, The Netherlands.
BMC Med Res Methodol ; 22(1): 179, 2022 06 27.
Article em En | MEDLINE | ID: mdl-35761181
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Adenoma Tipo de estudo: Diagnostic_studies / Incidence_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Adenoma Tipo de estudo: Diagnostic_studies / Incidence_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda