Exemplos de uso de Each variable 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
A score of"1" is assigned to each variable if present and"0" if absent,
Table 1 shows the completeness of each variable, according to their availability in the medical records,
The relative influence of each variable on the outcome is shown in figure 2.
The effect of the PLR test was determined by comparing the percent change in each variable from baseline, following the leg raise,
Survival curves for each variable were estimated using the Kaplan-Meier method;
For the first approach was utilized a non-linear regression model for each variable and the model parameters have a practical interpretation on soil.
The prevalence of overweight and obesity for each variable subgroup and for the total sample are shown in Table 2.
The total RR for each variable of exposure was calculated on the basis of the risks presented according to BMI categories in the study by Sichieri et al.
Each variable was included in the multivariate model according to hazard descending order,
Then thesentence obtained by replacing each variable"A" in"S" with the corresponding sentence"S""A" is also a tautology.
For this, the percentage completion of each variable was calculated, with classification as recommended on romero and cunha¿s scale.
this means placing a* before each variable before using it in order that it refers to the value of the variable rather than its address.
After each variable had been appropriately coded,
both for including each variable in the model and for calculating the confidence intervals for the odds ratios.
For a joint appreciation of the effects each variable exerts on the dependent variable"depression" in the presence of the other variables, multivariate analysis was performed, using logistic regression.
The IRR for each variable was adjusted for BW,
To calculate the minimum sample size for each variable, the respective sample's standard deviation was used as a population estimate at a significance level of 5.
If there was disagreement between the observers in terms of the values attributed to each variable and the total score,
It was then constructed a weighted risk score, in which each variable was given a score according to the magnitude of its coefficient b of the logistic equation.
To confirm the supposed proportionality of hazards, the significance of including the term of each variable s interaction with the logarithm of follow-up time was contrasted.