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Bounding Formulas for Selection Bias.
- Source :
-
American Journal of Epidemiology . 11/15/2015, Vol. 182 Issue 10, p868-872. 6p. - Publication Year :
- 2015
-
Abstract
- Researchers conducting observational studies need to consider 3 types of biases: selection bias, information bias, and confounding bias. A whole arsenal of statistical tools can be used to deal with information and confounding biases. However, methods for addressing selection bias and unmeasured confounding are less developed. In this paper, we propose general bounding formulas for bias, including selection bias and unmeasured confounding. This should help researchers make more prudent interpretations of their (potentially biased) results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00029262
- Volume :
- 182
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- American Journal of Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 110787584
- Full Text :
- https://doi.org/10.1093/aje/kwv130