Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness.

Authors
Hamra-GBH; MacLehose-RFM; Richardson-DBR; Bertke-SB; Daniels-RDD
Source
Occup Environ Med 2013 Sep; 70(Suppl 1):A112
NIOSHTIC No.
20043497
Abstract
Mixed exposures are often combined into single exposure measures using weighting factors. An example of this arises in radiation epidemiology where doses of distinct forms of ionising radiation (such as alpha, beta, and gamma radiation) are combined based on knowledge of their biological effectiveness relative a reference form of radiation (most often gamma). Similar pooling of mixed exposures may occur with multiple congeners or air pollutants to develop more parsimonious models. The weights used for combining exposures are determined from experimental animal and cellular research, but not observational research. In this work, we show that these weights, which are the ratio of two normally distributed variables, cannot be reliably estimated from observational research. We propose an alterative approach for estimating differences in effectiveness of distinct exposures based on their excess effectiveness compared to a reference exposure. This alternative provides reliable estimates of differences in effectiveness of distinct exposures.
Keywords
Exposure-levels; Radiation; Radiation-effects; Radiation-exposure; Biological-effects; Gamma-radiation; Beta-radiation; Alpha-radiation; Ionizing-radiation; Models; Animals; Synergism; Epidemiology
CODEN
OEMEEM
Publication Date
20130901
Document Type
Abstract
Fiscal Year
2013
NTIS Accession No.
NTIS Price
Identifying No.
M122013
ISSN
1351-0711
NIOSH Division
DSHEFS
Priority Area
Manufacturing
Source Name
Occupational and Environmental Medicine
State
NC; MN; OH
TOP