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This model predicted estimated effects of lead that were greater at the lower end of the PbB distribution than at higher levels (supralinear dose response relationship).
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These models were used to predict estimated costs per member per year with covariates held constant at their sample means.
This was confirmed on establishing reasonably well fitting models and predicted estimates for the proportion cured on the basis of HDI.
The Adjusted Goodness of Fit Index (AGFI) is 0.99, meaning the estimated model predicted 99% of the variances and co-variances in the observed data.
The overall model fit is shown in Figure 4 where the proportion of hours lost (a) and absenteeism rates (b) for the reference week are plotted along with their model predicted values, the model estimated baseline and the attribution to influenza.
The observed relationship between R SF MC and μ s ′ d fib was described using the mathematical model introduced in Section 2.2. Figure 4(A) shows R SF MC for the HG phase function with g = 0.8 for μ s ′ = [ 0.1 − 300 ] mm − 1 and d fib = [0.2 – 1.0] mm (blue cross marks), and the corresponding model predicted reflectance (R SF Model ) estimated from Eq. (2) (black line).
Therefore, the model predicts the strongest estimated effects at the lowest levels of exposure, without a lower threshold of PbB below which there would be no predicted effect on birth weight.
The model predicts that estimates of the t1/2 are more sensitive to changes in BMI at low exposures than at higher exposures.
IIV was estimated for the model predicted baseline (BL) and Emax.
To show the applicability of the identified model, the model is embedded within a nonlinear model predictive control (NMPC) framework to predict estimates of the control actions that comply with the process control objectives.
Using the parameters obtained from the fit to experiment 1, this model predicted subjects would converge to correct estimates of the prior's variance by the end of the second 250 trials.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com