We use a multiple regression model guided by longitudinal weekly patterns of influenza virus to attribute the weekly ILI consultation incidence pattern to each influenza (sub type, while controlling for the effect of respiratory syncytial virus (RSV) epidemics.
Results from the initial mixed effects linear regression analysis will guide selection of the trajectory shapes for the GCMM.
Covariate selection for the stepwise regression stages was guided by correlation analyses.
The logistic regression analyses were guided by Petersen's [ 20] risk factor model for oral diseases, suggesting that socio-environmental factors influence behavioural-and attitudinal factors, which again impact on clinical- and subjective oral health outcomes.
Fitting of the regression models is also guided by the 1984 Mosley-Chen analytical framework for child survival [ 24].
In our study, treatment duration was usually guided by regression of abscess as verified by CT or MRI and all patients had at least one or more follow-up neuroimaging studies.
While most C&RT packages utilize measures of node impurity, including the Gini index for classification trees and least squares for regression trees [ 7], to guide the splitting decisions there are situations in which other criteria may be justifiable.
We therefore reference previous work, including "A working guide to Boosted Regression Trees" (outlining the core methodology) and disease-specific applications of this approach (for dengue, leishmaniasis and malaria vectors).
These regression dilution ratios provide a guide to possible effects of reporting error in one particular cohort, although in principle a good estimate of the regression dilution ratio can be used to correct estimates of linear disease-exposure associations in univariate analyses.
However, instead of blindly initializing (S_c) with (S_{R,c}), AdOr alternates between the two sets of results (i.e. (X'_c) and (S_{R,c})) in an efficient manner and during that process it "selectively" chooses only the most promising results guided by the regression model so that to avoid compromising the quality of diversification.
