Sentence examples for joint regression from inspiring English sources

Sensitivity of species to environment was investigated and compared using modified joint regression.

The potential collinearity between "number of actions per correct answer" and "number of actions" (from Table 2, the correlation coefficient between these two variables is the highest: 0.78) may cause that the coefficient of the former changes its sign when both of them are included in a joint regression.

In the joint regression of the wage gap against employment protection, trade union density, collective bargaining, and centralization of wage updates, none of the covariates is statistically significant, although employment protection, trade union density, and centralization bear the signs predicted by the theory; see column (1).

The whole scheme is based on selecting European I-profiles for beams and columns, using the component method of Eurocode 3 for evaluating the design moment resistance of the joint, regression analysis to correlate the geometrical and inertial characteristics of the various components and elementary principles of Mechanics.

Here, we used both haplotype and joint regression modeling.

For the joint regression model we used STATA tpm command [ 37].

A more detailed examination of the incidence curve of ADR (joint point regression analysis) revealed that the incidence growth has changed over time and can be divided in two phases: the incidence of hospital admissions due to an ADR increased strongly between 1981 1996 (2.56%, CI 95%: 2.46 2.67) and the percentage annual change slowed down between 1997 2007 (0.65%; CI 95%, 0.52 0.78).

Combining the variables in a joint logistic regression model showed a high predictive accuracy with an AUC of 0.86.

The follow-up examination in RA patients was performed after joint effusion regression and at least 6 months after the first investigation.

Further details as well as comparisons of this model with a joint logistic regression are given in Stukel et al (2001).

These effects of changes in HbA1c and systolic blood pressure remained significant in a joint, multiple regression model including current HbA1c and blood pressure.