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Analysis of time-to-event for observational studies: Guidance to the use of intensity models.
Kragh Andersen, Per; Pohar Perme, Maja; van Houwelingen, Hans C; Cook, Richard J; Joly, Pierre; Martinussen, Torben; Taylor, Jeremy M G; Abrahamowicz, Michal; Therneau, Terry M.
Afiliación
  • Kragh Andersen P; Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
  • Pohar Perme M; Department of Biostatistics and Medical Informatics, Medical faculty, University of Ljubljana, Ljubljana, Slovenia.
  • van Houwelingen HC; Department of Biomedical Data Sciences, Leiden University, Leiden, The Netherlands.
  • Cook RJ; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
  • Joly P; Inserm, ISPED, Bordeaux Populations Health Research Center, University of Bordeaux, Bordeaux, France.
  • Martinussen T; Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
  • Taylor JMG; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Abrahamowicz M; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
  • Therneau TM; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, New York, USA.
Stat Med ; 40(1): 185-211, 2021 01 15.
Article en En | MEDLINE | ID: mdl-33043497
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca