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Adjusting for unmeasured confounding in nonrandomized longitudinal studies: a methodological review

OBJECTIVES: Motivated by recent calls to use electronic health records for research, we reviewed the application and development of methods for addressing the bias from unmeasured confounding in longitudinal data. STUDY DESIGN AND SETTING: Methodological review of existing literature. We searched ME...

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Detalles Bibliográficos
Autores principales: Streeter, Adam J., Lin, Nan Xuan, Crathorne, Louise, Haasova, Marcela, Hyde, Christopher, Melzer, David, Henley, William E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589113/
https://www.ncbi.nlm.nih.gov/pubmed/28460857
http://dx.doi.org/10.1016/j.jclinepi.2017.04.022