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However, we next additionally adjusted "core" and "fully-adjusted" models for percent body fat.
The first multivariate models for percent predicted FEV1 and severity of asthma score included behavioral and sociodemographic characteristics of the subjects (Table 4).
As a sensitivity analysis, we re-estimated the final models for percent predicted FEV1 and asthma severity score after omitting subjects who reported rhinitis alone, without concomitant asthma.
Models for percent emphysema also included a categorical term for CT scanner (electron-beam, non-Siemens multidetector, Siemens multidetector) and an interaction between body weight (≤ 220 lb or > 220 lb) and CT scanner since the radiation was increased 25% for individuals > 220 lb.
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The cut point for the best ODA model for percent forested habitat identified a threshold at 56.0% forest cover, i.e., forest covers higher than 56% resulting in higher R. aurora breeding abundance.
For this paper, the model for percent improvement in PASI score was used.
Although the regression coefficient in the conditional logistic model for percent density increased by 20% after adjustment for BMI, the coefficient for absolute dense area decreased by 4%.
Our model for percent total vegetation cover accounted for significant random effects and showed that vegetation cover increased with soil strength and dripline (Table 2).
Neither the model for percent predicted FEV1 nor asthma severity score demonstrated good explanatory power overall (R2 ≤ 0.02; p > 0.05 for both).
We observed statistical interaction between alcohol intake and BMI on an additive scale when we modeled for percent density (P <0.01).
The relationships between motor unit properties and CNTF genotype were examined using mixed effects models adjusted for percent of MVC, force generated, age and gender.
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