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Although improving model performance by incorporating spatial autocorrelation of residuals and projected coordinates may mask the importance of certain prediction variables not accounted for in the models, incorporating such spatial information is a practical approach for improving prediction of NTD incidences in epidemiologic studies when important prediction variables is unavailable [ 18, 35].
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Prediction bias was calculated by regressing the validation variables (DEBV) on the prediction variables (GEBV/EBV).
This important prediction remains to be confirmed.
Meaningful relationships between EB predictions and important predictor variables were observed in partial dependence plots.
( overset{wedge }{Y_t} ) = CG prediction variable.
The most important variable for prediction of TB diagnosis was chest radiograph results.
This analysis shows that obesity (measured by BMI) and lung function (measured by FEV1 and FVC) are the most important variables for prediction of missingness.
Rotor rotating speeds and bob dial readings are the important input variables for shear rate prediction.
When these 15 variables were analyzed by multinomial logistic regression, 8 were selected as most important independent variables to build up a prediction model (Table 3 Model 2).
As could be seen, the most important variables influencing the prediction of significant liver fibrosis were age, AST, platelet and GGT.
More detailed comparisons of axial distributions of important flow variables showed some differences between the predictions of the phenomenological and fundamental modelling approaches.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com