Bounding Formulas for Selection Bias
Journal
American Journal of Epidemiology
Journal Volume
182
Journal Issue
10
Pages
868-872
Date Issued
2015
Author(s)
Huang T.-H.
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.
SDGs
Publisher
Oxford University Press
Type
journal article