Bias and random errors in historical data of exposure to organic solvents
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<subfield code="c">Erik Olsen, Bjarne Laursen, Peter S. Vinzents</subfield>
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<subfield code="a">The purpose of this paper is to discuss some qualitative and quantitative aspects of the bias and random errors in industrial hygiene measurements of organic solvents and to show that bias embodied in such data may make the data incomparable. In this paper some sources of error associated with exposure measurements are identified and evaluated. The consequences of different sources of bias also are examined. Finally, the bias introduced by using two different sampling strategies is estimated by comparing two studies of exposure to organic solvents</subfield>
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<subfield code="a">Contaminantes químicos</subfield>
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<subfield code="a">American Industrial Hygiene Association journal</subfield>
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<subfield code="t">American Industrial Hygiene Association journal</subfield>
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<subfield code="g">Vol. 52, nº 5, May 1991 ; p. 204-211</subfield>
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