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These response variables were fitted to predictive models applying multiple linear regressions.
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We devised a model development process applying multiple statistical approaches in which a limited number of the most informative markers would be selected for inclusion.
Theorists then put together a collection of models of individual phenomena and try to integrate them by applying multiple models as seems necessary to explain a particular case.
For example, evaluations of the QRISK2 cardiovascular (Collins and Altman, 2010) and QCancer (Colorectal) (Collins and Altman, 2012) prediction models were performed after applying multiple imputation to replace any missing predictors.
To this end, we generated a range of synthetic data sets using the model from [ 8] applying multiple parameter allocations in many combinations (Table 1) using default settings, i.e., cmean=7/10 is chosen for low/high expression.
Water-level responses to pumping in hydrogeologically complex systems can be approximated well by applying multiple Theis models to a single pumping schedule.
As expected when applying multiple algorithms, model performance varied among the eight techniques (Elith et al. 2006).
More conventional use of portable XRF in soil analysis is to employ the elemental concentrations measured by the XRF device to predict other soil properties, generally applying multiple linear regression models.
In other cases, the models are applied multiple times to each enzyme and substrate component.
Two types of regression models were applied: multiple linear regression and logistic regression, with the outcome variables of choice being those which showed significant differences between facility locations.
To prevent bias, loss of information and enhance comparison between models, we applied multiple imputation in SPSS v17.0 on the early life risk factors to this analysis [ 14, 15].
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