Multinomial additive hazard model to assess the disability burden using cross-sectional data.

Yokota, Renata T C; Van Oyen, Herman; Looman, Caspar W N; Nusselder, Wilma J; Otava, Martin; Kifle, Yimer Wasihun; Molenberghs, Geert

Yokota, Renata T C; Van Oyen, Herman; Looman, Caspar W N; Nusselder, Wilma J; Otava, Martin; Kifle, Yimer Wasihun; Molenberghs, Geert.

Afiliação

Yokota RTC; Department of Public Health and Surveillance, Scientific Institute of Public Health, 1050, Brussels, Belgium.
Van Oyen H; Department of Sociology, Interface Demography, Vrije Universit eit Brussel, Brussels, Belgium.
Looman CWN; Department of Public Health and Surveillance, Scientific Institute of Public Health, 1050, Brussels, Belgium.
Nusselder WJ; Department of Public Health, Ghent University, Ghent, Belgium.
Otava M; Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Kifle YW; Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Molenberghs G; Janssen Pharmaceutica, Beerse, Belgium.

Biom J ; 59(5): 901-917, 2017 Sep.

Article em En | MEDLINE | ID: mdl-28332222

Assuntos

Pessoas com Deficiência/estatística & dados numéricos; Modelos de Riscos Proporcionais; Doença Crônica; Estudos Transversais; Humanos; Qualidade de Vida; Fatores de Risco

Palavras-chave

Additive hazard model; Chronic disease; Constrained optimization; Cross-sectional data; Cumulative rate; Disability; Multinomial likelihood

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos de Riscos Proporcionais / Pessoas com Deficiência Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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