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Estimates of exposure to NO2 were higher in Nancy than in Poitiers, whatever the exposure model and exposure window considered.
We performed MC simulations of chloroform blood concentrations using both the prior and posterior distributions for chloroform tap water and ambient air concentrations along with the distributions for the PBPK + shower model and exposure parameters.
Our animal model and exposure scheme were initially chosen to evaluate the effects of perinatal BPA exposure on the mouse epigenome (Anderson et al. 2012) and on adult obesity risk (Anderson et al. 2013), rather than on liver tumorigenesis.
We used the lognormal measurement model (Bernillon and Bois 2000), ln(C Vi) = f (t i, φ i, C Wi, C Ai) + ɛ i, i = 1,..., I, where f is the PBPK + shower model, φ i are the fixed pharmacokinetic, shower model, and exposure parameters for each individual, and the error terms ɛ i ~ N 0, σ).
The first term of the right hand side of (4) refers to the joint posterior distribution of the true exposures X and the surrogate variables W. As will be shown in Appendix II, this term contains the densities of the measurement model, disease model and exposure model.
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Several models and exposure variables were also tested (population, GDP).
These data allow accidental or intentional rehydration of dry dog food to be factored into predictive microbiology models and exposure assessments.
Both models and exposure levels are sensitive to the fat partition coefficient (PF) and the degradation rate for CYP1A2 (CYP1A2_1OUTZ).
PM10 was associated with preterm birth in a study of > 374,167 births from Seoul, South Korea, in 1998 2000 using Cox models and exposure by trimester (Suh et al. 2009).
The exposure-response patterns for ethylidene dichloride and vinyl chloride were similar for initial and subset models, and exposure concentrations for these two chemicals were highly correlated among our study participants (Pearson correlation coefficient: 0.99).
(6) Eventually, proposed models for bilirubin or GGT were constructed by eliminating non-significant predictors (p-value > 0.05) from the omnibus models and exposure effects were estimated using ordinary linear regression.
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