Estimands to quantify prolonged hospital stay associated with nosocomial infections.

Wolkewitz, Martin; Schumacher, Martin; Rücker, Gerta; Harbarth, Stephan; Beyersmann, Jan

Wolkewitz, Martin; Schumacher, Martin; Rücker, Gerta; Harbarth, Stephan; Beyersmann, Jan.

Afiliação

Wolkewitz M; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier 26, Freiburg, Germany. wolke@imbi.uni-freiburg.de.
Schumacher M; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier 26, Freiburg, Germany.
Rücker G; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier 26, Freiburg, Germany.
Harbarth S; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier 26, Freiburg, Germany.
Beyersmann J; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier 26, Freiburg, Germany.

BMC Med Res Methodol ; 19(1): 111, 2019 05 31.

Article em En | MEDLINE | ID: mdl-31151418

Assuntos

Infecção Hospitalar/epidemiologia; Unidades de Terapia Intensiva/estatística & dados numéricos; Tempo de Internação/estatística & dados numéricos; Alemanha/epidemiologia; Humanos

Palavras-chave

Hospital-acquired infections; Length of hospital stay; Multi-state model; Sojourn time

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecção Hospitalar / Unidades de Terapia Intensiva / Tempo de Internação Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha

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