Validity
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 7 in ActivEpi Companion Textbook, 2013, pp 175-193 from Springer
Abstract:
Abstract The primary objective of most epidemiologic research is to obtain a valid estimate of an effect measure of interest. In this activity, we illustrate three general types of validity problems, distinguish validity from precision, introduce the term bias, and discuss how to adjust for bias.
Keywords: Random Error; Risk Ratio; Effect Measure; Source Population; True Effect (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_7
Ordering information: This item can be ordered from
http://www.springer.com/9781461454281
DOI: 10.1007/978-1-4614-5428-1_7
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 ().