a) The marginal R2, Conditional R2, and median absolute error of the multilevel model trained on varying-length periods through time. b) Parameter estimates of association of Rt with NPI and Mobility. Estimates shown with 50% and 95% bootstrap confidence intervals. c) Observed vs Predicted Rt for the model trained between 12th March and 12th May, 2020. Diagonal where x = y shown as blue dashed line.</p
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>A) Mean and standard error of the report scores to the post-hoc questionnaire for each training d...
<p>SE = standard error</p><p>Estimates of the multilevel linear regression model of the relationship...
Regression coefficients for the multilevel model trained between 12th March and 12th May, 2020. Tabl...
<p>SE = standard error</p><p>Estimates of the multilevel linear regression model of the relationship...
<p>Note. <i>r</i> = correlations between scores predicted by the model and score for that tweet from...
The solid diagonal line indicates where values should lie for a perfect correlation between predicti...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The first three panels represent RT distributions as a function of accuracy from the congruent, n...
We discuss prediction of random effects and of expected responses in multilevel generalized linear m...
Cross-validated R2 point estimates and 95% confidence intervals are shown for A) models trained on d...
<p>(A) Balancing duration and (B) average absolute pole angle as function of subjects’ ratings. Data...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
Regression toward the mean artifacts (RTMAs) are ubiquitous phenomena, seducing researchers, policy ...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>A) Mean and standard error of the report scores to the post-hoc questionnaire for each training d...
<p>SE = standard error</p><p>Estimates of the multilevel linear regression model of the relationship...
Regression coefficients for the multilevel model trained between 12th March and 12th May, 2020. Tabl...
<p>SE = standard error</p><p>Estimates of the multilevel linear regression model of the relationship...
<p>Note. <i>r</i> = correlations between scores predicted by the model and score for that tweet from...
The solid diagonal line indicates where values should lie for a perfect correlation between predicti...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The first three panels represent RT distributions as a function of accuracy from the congruent, n...
We discuss prediction of random effects and of expected responses in multilevel generalized linear m...
Cross-validated R2 point estimates and 95% confidence intervals are shown for A) models trained on d...
<p>(A) Balancing duration and (B) average absolute pole angle as function of subjects’ ratings. Data...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
Regression toward the mean artifacts (RTMAs) are ubiquitous phenomena, seducing researchers, policy ...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>A) Mean and standard error of the report scores to the post-hoc questionnaire for each training d...
<p>SE = standard error</p><p>Estimates of the multilevel linear regression model of the relationship...