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In this paper, a robust multivariable Model based Predictive Control MPCC) is proposed for the solution of load frequency control (LFC) in a multi-area power system.
This phase of the implementation of the advanced control and optimization system (multivariable model based constraint control) allowed an increase of about 4% in the Liquefied Petroleum Gas (LPG) per charge and composition, this is the principal product of this unit, representing an income of US 1.300.000 a year.
We pre-selected variables for inclusion in the multivariable model based on prior information from studies from other settings on risk factors for mortality in HIV-infected TB patients [9], [11], [17], [18], [22].
In all regression models risk factors were explored using univariable regression analysis and were retained in the multivariable model based on forward selection; hypothesized risk factors were included and confounders were retained based on univariable P<0.2.
‡ Probability to enter the model in the stepwise multivariable model based on the score statistic in the original data set.
We first selected potentially useful baseline characteristic predictor variables for the multivariable model based on clinical experience and previous literature.
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We established multivariable models, based on the presence or absence of confounders.
All of our pre-selected variables were included in the final multivariable models based on our initial hypotheses.
10 Our attempts to investigate and control for the administered dose were limited to a univariate analysis because multivariable models based on various dose groups produced limited observations in some subgroups, rendering the models not robust enough.
We could not observe significant differences between the journals (Fisher's exact test, p = 0.09).> In 83 (28%) articles, the authors selected the covariates contained in multivariable models based on prior knowledge.
To determine the independence of baseline aromatase expression as a prognostic marker in our established multivariable models based on the post-treatment surgical sample, the baseline aromatase status was analyzed in the context of the preoperative endocrine relapse index (PEPI) (Table 4) [ 14].
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