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-GB; MacLehose-R; Richardson-D; Bertke-S; Daniels-RD
Source
Occup Environ Med 2014 Feb; 71(2):141-146
NIOSHTIC No.
20043769
Abstract
Objectives: Mixed exposures are often combined into single exposure measures using weighting factors. This occurs for many complex mixtures in environmental and occupational epidemiology including multiple congeners, air pollutants and unique forms of ionising radiation, among others. Methods: The weights used for combining exposures are most often determined from experimental animal and cellular research. However, evidence from observational research is necessary to support their use in risk analyses, since results from experimental research do not directly translate to observational epidemiology. Results: Using simulated data, we show that ratio-based relative weights cannot be reliably estimated from observational research. As a solution to this problem, we propose an approach for estimating differences in effectiveness of distinct exposures based on their excess effectiveness compared with a reference exposure. Conclusions: This alternative is easy to calculate and provides reliable estimates of differences in effectiveness of distinct exposures. This is important to regulatory bodies using relative measures for policy decisions, as well as practicing epidemiologists conducting risk analyses.
Keywords
Exposure-levels; Radiation; Radiation-effects; Radiation-exposure; Biological-effects; Gamma-radiation; Beta-radiation; Alpha-radiation; Ionizing-radiation; Models; Animals; Synergism; Epidemiology; Risk-analysis
Contact
Dr Ghassan Hamra, Section of Environment and Radiation, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon 69006, France
CODEN
OEMEEM
Publication Date
20140201
Document Type
Journal Article
Email Address
hamrag@fellows.iarc.fr
Funding Type
Grant
Fiscal Year
2014
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R03-OH-009800; M022014
Issue of Publication
2
ISSN
1351-0711
NIOSH Division
DSHEFS
Priority Area
Manufacturing; Mining
Source Name
Occupational and Environmental Medicine
State
MN; NC; OH
Performing Organization
University of North Carolina at Chapel Hill
TOP