Sentence examples for a multivariate multiple regression model with from inspiring English sources

Once QTL were identified using empirical LOD thresholds, effects of QTL were estimated by a multivariate multiple regression model with population structure.

All analyses were repeated with a p value of less than 0.10 as a threshold for entering the multivariate multiple regression models.

In our multivariate multiple regression models, levels and breadths of expression together constitute dependent variables.

Thus, the quadratic terms of UTRs are included in the multivariate multiple regression models.

*Predictions based on multiple regression model with random effects.

Analysis of risk factors for recurrence of CSDH was done using univariate (sometimes denoted as simple regression model) and multivariate analysis (sometimes denoted as multiple regression model).

Multivariate model adjusted R = 0.24 Results from multiple regression model.

Multivariate multiple regression analyses for all three time periods of growth faltering were conducted with psychosocial and educational outcomes as dependent variables, using backwards stepwise models.

Bivariate and multivariate statistical analyses, including multiple regression modeling, were performed to examine reliability and validity of the R-OHLI.

For all multiple regression models, we assumed a multivariate normal distribution with constant variance in the residuals and no spatial autocorrelation.

Univariate correlations were assessed by Spearman rho (rs) and partial correlation, while multivariate relationships were evaluated using multiple regression models.