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For these models, we incorporated considerations from the contemporary pathology literature to refine risk associations in the analyses of histologic type, as implemented previously [ 69].
In our hierarchical models, we incorporated host density into the region-specific intercept and slope parameters, δj and φj, (or δhj and φhj in the BYM approach).
To generate the final models, we incorporated calibration data from three independent trials.
In multiple regression models, we incorporated satellite estimates and geographic predictor variables to capture background and regional pollutant variation and used deterministic gradients to capture local-scale variation.
The right plot in Figure 4 illustrates another application of reduced parametric models: We incorporated the model in an interactive graphical user interface in RBmatlab, a matlab package for model order reduction, available for download at http://www.morepas.org.org
To further exploit the structural models, we incorporated a predictive approach that evaluates putative ligand-binding pockets in terms of their potential to affect protein function upon ligand binding [ 12, 13].
Similar(54)
In order to combine bigram and PLSA models, we incorporate the context word in the PLSA parameters.
In a first set of models, we incorporate time dummies to capture the aggregate effect of macroeconomic factors on each yearly cross-section.
This was performed using the coxme function [20] in R. In this model we incorporated the first measured absorbance as a covariate, so that differences in the initial number of bacterial cells do not influence our analysis.
To capture these intangible factors in our model, we incorporated the composite variable of seasons.
In the basic model we incorporated the probable absenteeism of HCWs attributable to illness.
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