Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches

BACKGROUND: Logistic regression is a statistical model widely used in cross-sectional and cohort studies to identify and quantify the effects of potential disease risk factors. However, the impact of imperfect tests on adjusted odds ratios (and thus on the identification of risk factors) is under-ap...

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Detalles Bibliográficos
Autores principales: Valle, Denis, Lima, Joanna M. Tucker, Millar, Justin, Amratia, Punam, Haque, Ubydul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634725/
https://www.ncbi.nlm.nih.gov/pubmed/26537373
http://dx.doi.org/10.1186/s12936-015-0966-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634725/
https://www.ncbi.nlm.nih.gov/pubmed/26537373
http://dx.doi.org/10.1186/s12936-015-0966-y

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