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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...
Autores principales: | Valle, Denis, Lima, Joanna M. Tucker, Millar, Justin, Amratia, Punam, Haque, Ubydul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
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 |
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