In a recent article, Bender and Blettner [
1
] proposed a method to calculate the number needed to be exposed (NNE) with adjustment
for confounding factors in epidemiologic studies within the framework of multiple
logistic regression. Confidence intervals for the adjusted NNEs were derived by means
of the multivariate delta method [
2
] and a SAS/IML® [
] program was offered for calculations [
1
]. In this article, we complement the work on adjusted NNEs by investigating the adequacy
of these approximate confidence intervals via simulations.To read this article in full you will need to make a payment
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References
- Calculating the “number needed to be exposed” with adjustment for confounding variables in epidemiological studies.J Clin Epidemiol. 2002; 55: 525-530
- Discrete multivariate analysis. MIT Press;, Cambridge, MA1975
- SAS/IML® software. 1st ed. SAS Institute Inc.;, Cary, NC1990
- Statistics with confidence. BMJ Books;, London2000
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© 2003 Elsevier Science Inc. Published by Elsevier Inc. All rights reserved.
