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Effects of Exposure Imprecision on Estimation of the Benchmark Dose
Author(s) -
BudtzJørgensen Esben,
Keiding Niels,
Grandjean Philippe
Publication year - 2004
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.0272-4332.2004.00560.x
Subject(s) - benchmark (surveying) , prenatal exposure , mercury exposure , observational study , statistics , exposure assessment , estimation , econometrics , regression , observational error , toxicology , computer science , mathematics , biology , engineering , pregnancy , ecology , geodesy , systems engineering , offspring , biomonitoring , genetics , geography
In regression analysis failure to adjust for imprecision in the exposure variable is likely to lead to underestimation of the exposure effect. However, the consequences of exposure error for determination of safe doses of toxic substances have so far not received much attention. The benchmark approach is one of the most widely used methods for development of exposure limits. An important advantage of this approach is that it can be applied to observational data. However, in this type of data, exposure markers are seldom measured without error. It is shown that, if the exposure error is ignored, then the benchmark approach produces results that are biased toward higher and less protective levels. It is therefore important to take exposure measurement error into account when calculating benchmark doses. Methods that allow this adjustment are described and illustrated in data from an epidemiological study on the health effects of prenatal mercury exposure.