Open AccessSensitivity analyses to estimate the potential impact of unmeasured confounding in causal research
Author(s) -
Rolf H.H. Groenwold,
David B. Nelson,
Kristin L. Nichol,
Arno W. Hoes,
Eelko Hak
Publication year - 2009
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyp332
Subject(s) - confounding , medicine , confidence interval , odds ratio , demography , population , statistics , environmental health , mathematics , sociology
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.