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Optimisation methods can accommodate various predictor variables, but to date have only been applied using post-fire growth stages as the primary landscape variable.
Relative importance values of various predictor variables of the models were calculated to determine the significance of each of the variables to the flow number.
However, since they are based on assumed linear relationships among various predictor variables, they could not adequately handle such a natural phenomenon as corrosion.
We assumed that missing values occurred at random given the other covariates and used multiple imputation to derive predictions for missing values.[22] The extent of completeness of data for various predictor variables is represented in Table 1.
There were no signs of interactions between the various predictor variables.
Pearson and Spearman correlations were then used to identify associations between IMR and various predictor variables.
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The number of hospital admissions and length of hospitalisation (again both as dichotomous variables), were used as dependent variables in binary logistic regression analyses to assess the effect of various different predictor variables (HAQ, DAS28, ESR, CRP, disease duration, age, overall and vigorous physical activity).
We also used logistic regression to assess various relationships between the predictor variables and Intentions Toward Safety.
Survival until discharge, or hospital mortality, was used as dependent variable, and various combination of potential predictor variables were used to create the model.
While the ROC curve assess the overall performance of the model, the prediction curves in Fig. 1 give the magnitude of the probability of death given various levels of the predictor variables.
I adopt and extend a methodology called IVX filtering (Magdalinos and Phillips, 2009) that is designed to handle predictor variables with various degrees of persistence.
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