Using independent cross-sectional survey data to predict post-migration health trajectories among refugees by estimating transition probabilities and their variances.

Erdmann, Stella; Biddle, Louise; Kieser, Meinhard; Bozorgmehr, Kayvan

Erdmann, Stella; Biddle, Louise; Kieser, Meinhard; Bozorgmehr, Kayvan.

Afiliação

Erdmann S; Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany.
Biddle L; Section for Health Equity Studies and Migration, Department of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.
Kieser M; Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany.
Bozorgmehr K; Section for Health Equity Studies and Migration, Department of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany.

Biom J ; 64(5): 964-983, 2022 06.

Article em En | MEDLINE | ID: mdl-35187684

Assuntos

Refugiados; Estudos Transversais; Humanos; Pontuação de Propensão; Qualidade de Vida; Refugiados/psicologia; Autorrelato

Palavras-chave

causal inference; contextual factors; refugees; social epidemiology; survey methods

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Refugiados Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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