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Кликните два раза на слово, чтобы найти его в TermGallery.
Кликните два раза на слово, чтобы найти его в TermGallery.
Значения термина statistical regression на английском
The relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
Синонимы
Examples for "regression"
Examples for "regression"
1
Polytomous logistic regression was used to compare each case group with controls.
2
Multivariable regression analysis demonstrated a significant treatment effect over time on survival.
3
Multivariate regression analysis was used to assess risk factors for this outcome.
4
Multivariate logistic regression analysis was used to define risk factors for infection.
5
Mixed linear regression was used to examine group differences in quality scores.
1
Comparisons were conducted using the paired t-test and simple regression analysis.
2
SUVmax was significantly correlated with both tumor thickness and depth of invasion in simple regression analysis.
3
This matrix was used to determine the contribution of sires to each of the pools and therefore phenotype category by using a simple regression approach.
4
A simple regression of changes in short positions against changes in prices suggests a larger decline of $10-12 per barrel would have been expected.
5
Simple regression analysis showed that most vitamins and trace elements were significantly negatively correlated with age.
1
Detailed statistical analysis show that this development exceeds secular trends and the regression -toward-the-mean effect.
Использование термина statistical regression на английском
1
Maternal demographic and epilepsy information was also collected for use in statistical regression.
2
However, when this was adjusted with a statistical regression model for baseline characteristics and confounding variables, this difference …
3
I could do a statistical regression off measurements taken from the partial leg bones, but the range would be almost uselessly broad.
4
However, when this was adjusted with a statistical regression model for baseline characteristics and confounding variables, this difference became statistically insignificant (P = 0.17).