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The models showed higher numbers of Lyme disease cases in places where there are fewer foxes.

Feasibility studies of 11C-4DST in rodent tumor models showed higher uptake than that of 18F-FLT and reflect the DNA synthesis rate [12,13].

All of the mixture PD models showed higher estimates for the intercept parameters of the end-of-test items than the 2PLM, which means that items appeared to be less difficult than in the 2PLM.

These patterns remained in fully adjusted models and showed small increases with longer duration in the U.S. Joint effects models showed higher odds of prevalent Type II diabetes and obesity (Asian-specific) for foreign-born Asians, regardless of years in the U.S. and slightly higher risk for low education, when compared to non-Latino Whites with high education.

The single-node/single-link models showed higher von Mises stress in the caudal half of the mandible compared to the other models (Fig. 7).

The fully adjusted models showed higher rates than in Caucasians in all except for South Asians.

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Some models showed high variability which was presumably due to spatial heterogeneity, temporal variability or sampling uncertainty.

The obtained models showed high performance in both internal and external validation indicating their robustness and predictive ability.

Estimated breeding values (EBVs) of the two types of models showed high and positive correlations (0.92 0.99), which meant that these models showed similar utility for predicting breeding value.

These models showed high stability to data variation in the leave-one-out cross-validation procedure (q2 = 0.912, scv = 0.289 and q2 = 0.957, scv = 0.211).

However, the multilevel models showed high C statistics (up to 0.90) indicating good model discrimination between subjects for each level of the outcome.

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