Information Bias
David G. Kleinbaum,
Kevin M. Sullivan and
Nancy D. Barker
Additional contact information
David G. Kleinbaum: Emory University, Rollins School of Public Health
Kevin M. Sullivan: Emory University, Department of Epidemiology Rollins School of Public Health
Chapter LESSON 9 in ActivEpi Companion Textbook, 2013, pp 231-281 from Springer
Abstract:
Abstract Information bias is a systematic error in a study that arises because of incorrect information obtained on one or more variables measured in the study. The focus here is on the consequences of having inaccurate information about exposure and disease variables that are dichotomous, that is, when there is misclassification of exposure and disease that leads to a bias in the resulting measure of effect. We consider exposure and disease variables that are dichotomous. More general situations, such as several categories of exposure or disease, continuous exposure or disease, adjusting for covariates, matched data, and mathematical modeling approaches, are beyond the scope of the activities provided below.
Keywords: Deep Vein Thrombosis; Exposure Status; Cell Frequency; Misclassification Bias; Exposure Misclassification (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5428-1_9
Ordering information: This item can be ordered from
http://www.springer.com/9781461454281
DOI: 10.1007/978-1-4614-5428-1_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().