Open AccessModeling long-term average exposure in occupational exposure-response analysis
Author(s) -
Liesbeth Preller,
Hans Kromhout,
Dick Heederik,
Mjm Tielen
Publication year - 1995
Publication title -
scandinavian journal of work, environment and health
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.67
Subject(s) - statistics , coefficient of variation , linear regression , lung function , exposure assessment , regression analysis , occupational exposure , toxicology , term (time) , inhalation exposure , analysis of variance , mathematics , zoology , medicine , inhalation , environmental health , biology , lung , physics , anatomy , quantum mechanics
Estimates of long-term average exposure to occupational hazards are often imprecise because intraindividual variability in exposure can be large and exposure is usually based on one or few measurements. One potential result is bias of exposure-response relationships. The possibility was studied of a more valid measure of exposure being obtained by modeling exposure and consequently increasing the number of days with exposure estimates, using simple measurable exposure surrogates.