Exemplos de uso de Variables were considered em Inglês e suas traduções para o Português
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Thus, the following dependent variables were considered.
All other variables were considered as independent.
In the first level, the demographic and socioeconomic variables were considered.
All the variables were considered in the logarithmic form.
Based on the DXA results, the total and subtotal BMD and BMC variables were considered except the head.
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Two variables were considered: age range and comorbidity.
Multiple logistic regression was performed using SAH as the outcome and all the variables were considered.
All variables were considered significant when p< 0.05.
Regarding the sociodemographic profile, the following independent variables were considered: age, sex, race, marital status, occupation, educational level, and the place of residence.
Some variables were considered when classifying each worker at point zero of the cohort.
Finally, a limitation of the study was the impossibility to determine the directionality of the associations risk of reverse causality, because the variables were considered concurrently, with the transversalverification of conditioning factors and outcomes therefore occurrig.
Climate variables were considered, such as rainfall, temperature and relative humidity.
Associations among variables were considered meaningful when p.
Variables were considered normal on the basis of the values of central tendency, kurtosis, and skewness in the frequency histograms, in addition to statistical analysis used in previous studies.
At this stage, all variables were considered simultaneously in the model.
Two variables were considered together, as each indicates failure in the treatment of keloids.
Differences between variables were considered significant when p< 0.05.
All variables were considered in multiple regression analysis, and those associated with H. pylori infection with p.
Those who answered no for both variables were considered non-participants(reference category) and the others were participants.
Some variables were considered when classifying each worker at point zero of the cohort: sex, position, age, length of time with the company and work regime.
Categorical variables were compared with the z-test. Variables were considered normal following observation of the measures of central tendency, kurtosis and asymmetry in frequency histograms.
All these variables were considered parametric except for intramural thrombi and material of the endoprosthesis, which were analyzed as non-parametric.
The most significant variables were considered in the univariate model and included in the model.
Variables were considered statistically significant when they presented two-tailed p< 0.05, estimated by the Wald test for linear trend or heterogeneity, according to the type of variable analyzed.
In this model, three important variables were considered: the lifespan of each credit union, censorship, and the type of discontinuity exit.
Twenty-six variables were considered through univariate analysis as possible prognostic factors.
For this, the variables were considered brazil and usa, as: the state of the art market's regulatory, technological domain, qualificatio.
For adjustment, all variables were considered at the same determination level, and we performed the selection by the backward elimination method.
These variables were considered relevant for the new system under development for the Wartegg Test, considering their relevance in the Rorschach(R-PAS) system.
These variables were considered adequate and inadequate, and when inadequate, the alteration was classified in relation to the degree as mild, moderate or severe.