Regression plot of the final regression model (adjusted R2 = 0.507), including SWS (β = 0.317; p = 0.035) and hospitalizations (β = -0.482; p = 0.003) as significant predictors. Verbal memory (VLMT; β = 0.224; p = 0.160) and symptom severity are non-significant predictors of the model (β = -0.209; p = 0.229).</p
<p>The vertical axis indicates the predicted cognitive scores based on MRI and PET data, and the hor...
<p>Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r<su...
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...
Stepwise variable selection of sleep stages (N1 sleep, N2 sleep, SWS, REM sleep) results in a signif...
<p>Regression analysis for the prediction of cognitive test scores from clinical variables and body ...
<p>aOR – Odds Ratio adjusted for all variables in the model; CI – Confidence Interval; NS – Not Sign...
<p>Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r<sup>2</sup> = 0....
<p>Results of the regression analyses predicting neurocognitive measures in the TLE patients.</p
Logistic (OR [95%CI]) regression models predicting a CCI≥1 in the whole cohort of patients (No. = 93...
<p>Prediction plot for best-fit model, a regression of observed on fitted TSWV incidence, R<sup>2</s...
Linear regression models showing associations between hospitalizations and overall grade points, uns...
<p>Columns 2–4 report Nagelkerke’s Pseudo R<sup>2</sup> (<sup>a</sup>adjusted R<sup>2</sup> where li...
<p>The numbers in the squares correspond to activation levels in different brain voxels. Each brain ...
Longitudinal linear multiple regression model to predict the frequency of psychotic experiences at T...
<p>Multivariate regression model: unstandardized regression coefficients, confidence intervals (CI) ...
<p>The vertical axis indicates the predicted cognitive scores based on MRI and PET data, and the hor...
<p>Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r<su...
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...
Stepwise variable selection of sleep stages (N1 sleep, N2 sleep, SWS, REM sleep) results in a signif...
<p>Regression analysis for the prediction of cognitive test scores from clinical variables and body ...
<p>aOR – Odds Ratio adjusted for all variables in the model; CI – Confidence Interval; NS – Not Sign...
<p>Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r<sup>2</sup> = 0....
<p>Results of the regression analyses predicting neurocognitive measures in the TLE patients.</p
Logistic (OR [95%CI]) regression models predicting a CCI≥1 in the whole cohort of patients (No. = 93...
<p>Prediction plot for best-fit model, a regression of observed on fitted TSWV incidence, R<sup>2</s...
Linear regression models showing associations between hospitalizations and overall grade points, uns...
<p>Columns 2–4 report Nagelkerke’s Pseudo R<sup>2</sup> (<sup>a</sup>adjusted R<sup>2</sup> where li...
<p>The numbers in the squares correspond to activation levels in different brain voxels. Each brain ...
Longitudinal linear multiple regression model to predict the frequency of psychotic experiences at T...
<p>Multivariate regression model: unstandardized regression coefficients, confidence intervals (CI) ...
<p>The vertical axis indicates the predicted cognitive scores based on MRI and PET data, and the hor...
<p>Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r<su...
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...