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For diabetes, a survey-weighted logistic regression model was fit.
Each model was fit to published accumulation and degradation data.
A parametric ARMA model was fit to the desired Bark-warped frequency response over the unit circle.
For both, a multivariable-adjusted model was fit that included age group, gender, race/ethnicity, family income and smoking status.
The SL1067 section of the model was fit and built manually using the Rcrane31 plugin within Coot70.
For both dissociating agents, a highly significant reduced quadratic model was fit to the data.
In our second analysis, crack size information was added and a similar model was fit.
When a recessive model was fit, the results were unchanged.
Initially, the model was fit for each species individually.
A 2-compartment model was fit to the TP10 blood levels as a function of time.
Multivariable regression model was fit using the ordinary least squares approach.
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