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Sensitivity analyses to estimate the potential impact of unmeasured confounding in causal research.

Authors :
Groenwold, Rolf H. H.
Nelson, David B.
Nichol, Kristin L.
Hoes, Arno W.
Hak, Eelko
Source :
International Journal of Epidemiology. Feb2010, Vol. 39 Issue 1, p107-117. 11p. 3 Charts.
Publication Year :
2010

Abstract

Background The impact of unmeasured confounders on causal associations can be studied by means of sensitivity analyses. Although several sensitivity analyses are available, these are used infrequently. This article is intended as a tutorial on sensitivity analyses, in which we discuss three methods to conduct sensitivity analysis. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
03005771
Volume :
39
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
48045118
Full Text :
https://doi.org/10.1093/ije/dyp332