Skip Navigation LinksHome > January 2012 - Volume 23 - Issue 1 > Berkson's Bias, Selection Bias, and Missing Data
Epidemiology:
doi: 10.1097/EDE.0b013e31823b6296
Methods

Berkson's Bias, Selection Bias, and Missing Data

Westreich, Daniel

Collapse Box

Abstract

Although Berkson's bias is widely recognized in the epidemiologic literature, it remains underappreciated as a model of both selection bias and bias due to missing data. Simple causal diagrams and 2 × 2 tables illustrate how Berkson's bias connects to collider bias and selection bias more generally, and show the strong analogies between Berksonian selection bias and bias due to missing data. In some situations, considerations of whether data are missing at random or missing not at random are less important than the causal structure of the missing data process. Although dealing with missing data always relies on strong assumptions about unobserved variables, the intuitions built with simple examples can provide a better understanding of approaches to missing data in real-world situations.

© 2012 Lippincott Williams & Wilkins, Inc.

Twitter  Facebook

Login

Article Tools

Share