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We estimated five different models for each of the spatial regression: model 1 has household characteristics and amenities, model 2 considered mother and child variables, model 3 has healthcare variables, model 4 has health facility variables in the analysis, and the last model incorporated all the variables.
One model incorporated all risk factors except the CRP level, and the other model incorporated all risk factors except the ESR, to enable interchangeable use depending on clinical availability.
Model incorporated all important factors of cellulose hydrolysis such as structural features, morphological changes in cellulose during hydrolysis and effect of morphological changes on the hydrolysis.
The ICU stay model incorporated all of the above terms with the exception of age and sex, which were excluded, and with the addition of anaesthetist, which was found to be significant in predicting ICU stay.
The final global model incorporated all of the pre- and perinatal variables that continued to show an association with Tourette syndrome or Tourette syndrome/chronic tic disorder in the multivariable analyses described above (Table 3).
The random use model, the fixed total range model, incorporated all refuge sites within a circle of radius h.
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The final modeling incorporated all stage I cancer data from rounds one and two, including the duplicates – a total of 91 stage I data sets, representing 61 unique samples and an identical number of controls, matched as before, and balanced in the same round one to round two ratio (Figure 1).
The effect of covariates on model parameters was assessed by a full covariate model, which incorporated all pre-specified covariate-parameter relationships into the base model.
Indeed, this analysis performed significantly above chance level for all participants and better than the other models, surpassed only by the model that incorporated All available features including the nine features used as clues in the experiment.
The model that incorporated all possible covariates was chosen as the full model (forward step).
As a novel and powerful technique for modeling eye movement scan path, the algebraic graph theory-based path graph model of scan path has several noticeable merits: (a) The SPPG model incorporated almost all the important dynamic information from the saccadic eye movement.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com