Sentence examples for null exposure from inspiring English sources

In addition, decisions on dose response models may be crucial, as a null exposure group is usually not available, thus requiring extrapolations beyond the exposure interval observed.

In the specific case of temperature where a null exposure condition cannot be defined, a reasonable choice is to center the cross-basis in Eq. (3) to the temperature of minimum risk, as suggested in previous publications [ 13].

Updated cancer mortality among different subgroups of workers employed in a VC-PVC production plant located in Porto Marghera (Italy) was re-analyzed using an internal reference group of workers with low (or null) exposure to VC. Mortality of 1658 male workers was analyzed by Poisson regression.

As technicians and clerks, thanks to environmental workplace sampling, were found in a previous study to be a group with low (or null) exposure to toxic and carcinogenic agents, they were used as an internal reference in the present analysis [ 10].

First of all, the present reanalysis sought to reduce the comparison bias by using as a reference group – instead of the general population – a working population with limited or null exposure to occupational carcinogenic agents and with hiring criteria and duration of employment similar to those of the exposed group(s) under study.

The migration of retirees to the southern United States could be expected to bias results toward the null, because exposure levels there would be overstated.

Except for one activity measure in female MT-null mice, exposure to MeHg did not significantly affect behavioral test responses at 12 weeks.

Underascertainment of cases could bias the risk estimates away from the null if exposures in the underascertained group differed in persons included in the study.

In conclusion, this study documented the null association between exposure to traffic pollution and parasympathetic tone and the weak association between traffic pollution exposure and sympathetic tone marker, LF/HF, health effect outcomes that have the capability to predict cardiovascular disease, among older men.

When assessing the results by PM2.5 quartiles, odds ratios (ORs) were close to the null for all exposure quartiles, without evidence of a positive trend.

However, recent studies in populations with higher exposures reported null associations between prenatal DDE exposure and BMI at 12 months (Garced et al. 2012), 18 months (Cupul-Uicab et al. 2010), and 7 years of age (Cupul-Uicab et al. 2013; Warner et al. 2013), suggesting a nonmonotonic dose response relationship (Vandenberg et al. 2012).