Bounding Formulas for Selection Bias

Citations Over TimeTop 20% of 2015 papers

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.

Related Papers

• → Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies(2009)1,888 cited
• → Bounding Formulas for Selection Bias(2015)13 cited
• → Error, bias, and confounding in epidemiology(2016)2 cited
• → Bias in Clinical Studies of Genetic Diseases(2008)3 cited
• → Sources of Error: Selection Bias, Information Bias, and Confounding(2014)