✦ LIBER ✦

ASSESSING SENSITIVITY TO MULTIPLE FACTORS IN CALCULATING ATTRIBUTABLE RISKS

✍ Scribed by SUE TAYLOR; RICHARD TWEEDIE

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 475 KB
Volume: 8
Category: Article
ISSN: 1180-4009
DOI: 10.1002/(sici)1099-095x(199707)8:4<351::aid-env270>3.0.co;2-3

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✦ Synopsis

In many calculations of attributable risk (AR), there are a number of parameters (excess risks, exposure rates, and so on) that are not known accurately, and one should take into account the variability in these parameters in determining a range of `plausible values' of the attributable number (AN) of incidences due to the exposure. This is often done through simple tabulation of extreme combinations of the factors, but this can give a spurious picture of the real dimensions of the attributable risk. In this paper we describe graphical displays leading to more accurate evaluations of the AN range using multiple box plots, and a multiple regression approach to deciding on the most sensitive parameters for display in this way. The methods are illustrated by giving calculations of the ANs for lung cancer and for heart disease attributed to exposure to active and passive smoking. These expand analyses previously given by the United States EPA, the Australian NH&MRC and the United States OSHA.

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