Sentence examples for exposure classification methods from inspiring English sources

This study also examined the risk of HL using a number of different exposure classification methods, raising the issue of multiple testing.

The reliability of binary exposure classification methods is routinely reported in occupational health literature because it is viewed as an important component of evaluating the trustworthiness of the exposure assessment by experts.

The reduction is likely to be greater in many epidemiologic studies evaluating occupational or environmental exposures, because few available exposure classification methods have such a high sensitivity and specificity.

Table 3 demonstrates that the spatial variability of CBPs in drinking water also involves differences in the exposure classification between the methods based on one or two sampling sites (whatever the scale considered) and the method based on system-wide sampling (method F).

For each of the nine distribution systems under study, important differences were observed between the subject's exposure classification in the two methods based on the closest sampling site, but at a different space scale (methods C and E).

First, the use of a proximity method for exposure classification is subject to misclassification bias.

Any differences in disease definitions should not produce a biased result within a study, given that the disease classification methods in the available studies were independent of the exposure classification system.

Consequently, the type of space scale considered in the CBP data assignment method has an impact on the subject's exposure classification.

Self-reports, the basis for exposure classification in studies of most known breast cancer risk factors, are at best a weak method for assessing exposure to many pollutants.

We excluded participants if feeding profiles were not sufficiently complete to estimate duration of a particular feeding method or if their known exposure profile did not fit into an exposure classification.

Our study compared automated and E911 methods for recovering and geocoding valid street addresses and assessed the impact of positional errors on exposure classification.