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The data were well fit by linear regression (Pearson's adjusted coefficient of determination, R, ≥0.95 for the four fits; data not shown), which indicates that the binding percentages were very likely determined by the assay temperature.
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In general, the additional nonlinear PK models with saturable absorption, competitive binding to albumin, or nonlinear elimination did not lead to improvement of model fitting (data not shown).
Although the disease-specific rates tended to increase with age, a model with smaller age intervals (5 years) was initially fitted (data not shown).
Also in this case, we find that the obtained parameter estimates have the same type of correlations as those obtained with an ordinary least squares fit (data not shown).
However, this model did not have adequate fit (data not shown).
A mass transfer correction did not improve the fit (data not shown).
Natural splines with 3 and 4 degrees of freedom were explored but did not improve model fit (data not shown).
A second membrane zone increases the number of regression parameters, but does not significantly improve the fit (data not shown).
According to multivariate analysis, the proportional hazards assumption checked with the log log plot of survival indicated a good model fit (data not shown).
Inclusion of additional covariates into the individual cohort models (birth weight, maternal age and area level socioeconomic indicators) did not change air pollution effect estimates or improve model fit (data not shown).
Other available mammographic measures (Wolfe classification, SMF and a visual assessment) were added separately to the dense area alone model and the PDA alone model, and none improved the model fit (data not shown).
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