W. Navidi et F. Lurmann, MEASUREMENT ERROR IN AIR-POLLUTION EXPOSURE ASSESSMENT, Journal of exposure analysis and environmental epidemiology, 5(2), 1995, pp. 111-124
The exposure of an individual to an air pollutant can be assessed indi
rectly, with a ''microenvironmental'' approach, or directly with a per
sonal sampler. Both methods of assessment are subject to measurement e
rror, which can cause considerable bias in estimates of health effects
. If the exposure estimates are unbiased and the measurement error is
nondifferential, the bias in a linear model can be corrected when the
variance of the measurement error is known. Unless the measurement err
or is quite large, estimates of health effects based on individual exp
osures appear to be more accurate than those based on ambient levels.