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Sequential trials in the context of competing risks: Concepts and case study, with R and SAS code.
Baayen, C; Volteau, C; Flamant, C; Blanche, P.
Afiliação
  • Baayen C; Biometrics Division, H. Lundbeck A/S, Copenhagen, Denmark.
  • Volteau C; Section of Methodology and Biostatistics, University Hospital of Nantes, Nantes, France.
  • Flamant C; Reanimation and Neonatal Medicine, University Hospital of Nantes, Nantes, France.
  • Blanche P; Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Stat Med ; 38(19): 3682-3702, 2019 08 30.
Article em En | MEDLINE | ID: mdl-31099906
ABSTRACT
Sequential designs and competing risks methodology are both well established. Their combined use has recently received some attention from a theoretical perspective, but their joint application in practice has been discussed less. The aim of this paper is to provide the applied statistician with a basic understanding of both sequential design theory and competing risks methodology and how to combine them in practice. Relevant references to more detailed theoretical discussions are provided, and all discussions are illustrated using a real case study. Extensive R and SAS code is provided in the online Supplementary Material.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos de Riscos Proporcionais / Ensaios Clínicos como Assunto / Medição de Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos de Riscos Proporcionais / Ensaios Clínicos como Assunto / Medição de Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Dinamarca