Sentence examples for specified regression from inspiring English sources

The allocations are robust against incorrectly specified regression responses, and against possible heteroscedasticity.

To test the Moderation-Hypothesis, we specified regression models with students' problem-solving score as the outcome and math and science scores as predictors for each of the 41 countries.

The fully specified regression models for Table  4 and Table  5 are provided in Additional file 1: Tables S2.0-S3.5.> S2.0-S3.5.>> -wrap-foot> β = regression coefficient; EQ = EuroQol; Hypo = symptomatic hypoglycemia; HFS = Hypoglycemia Fear Survey; MCS = Mental Component Summary; PCS = Physical Component Summary; SF-12 = 12-item Short Form Health Survey.

The fully specified regression models for Table  3 are provided in Additional file 1: Tables S1.1-S1.6.> S1.1-S1.6.> β = regression coefficient; EQ = EuroQol; Hypo = symptomatic hypoglycemia; HFS = Hypoglycemia Fear Survey; MCS = Mental Component Summary; PCS = Physical Component Summary; SF-wrap-foottem Short Form Health Survey.

Correctly specified logistic regression models performed quite well with low bias while misspecified logistic regression models that were missing important interactions and non-linearities in pre-treatment covariates produced high bias.

We specified multilevel regression models for each country separately.

Limitations of previous analyses include inadequate statistical methods using only bivariate correlations or poorly specified multiple regression models.

Finally, we specified a regression model in which CPS ability was the criterion, fluid intelligence, prior knowledge, and general interest (AIST) were the predictors (Figure 4). Figure 4 Regression model with correlated predictors of CPS.

In this research, first out of 11 blasting and geo-mechanical parameters of rock masses, four parameters which had the greatest influence on the vibrational wave velocities were specified using regression analysis.

Resulting uncertainties have a relevant influence on the determination of the arc thermal performance value via the specified logistic regression algorithm due to the presence of independent variable errors (i.e. errors of incident energy values calculated from high temperature data measured by calorimeters), which are not taken in account in the actual procedures.

Then we specified a regression model for each variable with missing data.