The unadjusted model tests for correlation of individual predictors with the dependent variable marginal-delay. The adjusted or multivariate model test for correlation of each predictor when other predictors occur. (DOCX)</p
<p>The estimates and t-values of the mixed-effects model for P3 amplitude (measured in mean activity...
In the conventional linear mixed-effects model, four structures can be distinguished: fixed effects,...
<p>Mixed effects models of clinic-month intervention rates with autoregressive residuals (<i>n</i> =...
Estimates and 95% confidence interval (CI) from multivariable linear mixed models including all vari...
Estimates and 95% confidence interval (CI) from multivariable linear mixed models including all vari...
<p>Multivariate Repeat Measure Mixed Linear Model Regression analyses for the effects of disease sta...
The effect of clinical parameters on MBR-T and FAI analyzed with a linear mixed-effect model.</p
<p>Standardized residuals indicating the proximity of each individual subject’s mean latency in the ...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
Association and effect size testing of patient factors with global delay measures.</p
Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age ...
<p>The estimates and t-values of the mixed-effects model for P3 amplitude (measured in mean activity...
Multivariable regression analysis of the association between patient characteristics and time to fir...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
In much of epidemiological and clinical research, repeated observations of response variables and a ...
<p>The estimates and t-values of the mixed-effects model for P3 amplitude (measured in mean activity...
In the conventional linear mixed-effects model, four structures can be distinguished: fixed effects,...
<p>Mixed effects models of clinic-month intervention rates with autoregressive residuals (<i>n</i> =...
Estimates and 95% confidence interval (CI) from multivariable linear mixed models including all vari...
Estimates and 95% confidence interval (CI) from multivariable linear mixed models including all vari...
<p>Multivariate Repeat Measure Mixed Linear Model Regression analyses for the effects of disease sta...
The effect of clinical parameters on MBR-T and FAI analyzed with a linear mixed-effect model.</p
<p>Standardized residuals indicating the proximity of each individual subject’s mean latency in the ...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
Association and effect size testing of patient factors with global delay measures.</p
Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age ...
<p>The estimates and t-values of the mixed-effects model for P3 amplitude (measured in mean activity...
Multivariable regression analysis of the association between patient characteristics and time to fir...
Coefficients for each predictor (and each degree of difficulty, as relevant) along with standard err...
In much of epidemiological and clinical research, repeated observations of response variables and a ...
<p>The estimates and t-values of the mixed-effects model for P3 amplitude (measured in mean activity...
In the conventional linear mixed-effects model, four structures can be distinguished: fixed effects,...
<p>Mixed effects models of clinic-month intervention rates with autoregressive residuals (<i>n</i> =...