<p>Unique and shared variance components in the linear regression model for coherent-sequence performance.</p
<p>Partial variance (pR<sup>2</sup>) of the activity monitors (AM) in the six linear regression mode...
Coefficient of variance for the grouped-correlation coefficients in each of the three sample groups....
<p>The variables developed in prior analyses were used in one multiple regression model, predicting ...
<p>Unique and shared variance components in the linear regression model for incoherent-sequence perf...
We consider variance components and other models for repeated measures in which a general transforma...
Variance components of the across-lab analysis for the Stage 2 Local, Standardized, and Heterogenize...
Performance of the multiple linear regression models for the z-scores of the individual cognitive va...
Performance of the multiple linear regression models for the summary cognitive indexes.</p
Variance components derived from the best fitting, most parsimonious ETFD model.</p
<p>Multiple linear regression models showing the influence of comorbidities on process attributes.</...
<p>Multiple linear regression parameters for the independent rotation variables used to predict perf...
Variance components for the Standardized protocol at its control conditions across stages 2 and 3 (m...
Within-subject coefficient of variation (CV) with 95% confidence intervals obtained at each relative...
<p>Coefficient of residual variation (CVe, %), coefficient of genotypic variation (CVg, %) and relat...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
<p>Partial variance (pR<sup>2</sup>) of the activity monitors (AM) in the six linear regression mode...
Coefficient of variance for the grouped-correlation coefficients in each of the three sample groups....
<p>The variables developed in prior analyses were used in one multiple regression model, predicting ...
<p>Unique and shared variance components in the linear regression model for incoherent-sequence perf...
We consider variance components and other models for repeated measures in which a general transforma...
Variance components of the across-lab analysis for the Stage 2 Local, Standardized, and Heterogenize...
Performance of the multiple linear regression models for the z-scores of the individual cognitive va...
Performance of the multiple linear regression models for the summary cognitive indexes.</p
Variance components derived from the best fitting, most parsimonious ETFD model.</p
<p>Multiple linear regression models showing the influence of comorbidities on process attributes.</...
<p>Multiple linear regression parameters for the independent rotation variables used to predict perf...
Variance components for the Standardized protocol at its control conditions across stages 2 and 3 (m...
Within-subject coefficient of variation (CV) with 95% confidence intervals obtained at each relative...
<p>Coefficient of residual variation (CVe, %), coefficient of genotypic variation (CVg, %) and relat...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
<p>Partial variance (pR<sup>2</sup>) of the activity monitors (AM) in the six linear regression mode...
Coefficient of variance for the grouped-correlation coefficients in each of the three sample groups....
<p>The variables developed in prior analyses were used in one multiple regression model, predicting ...
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