Graphical representation of the effects highlighted by the logistic mixed-effect models which included a single predictor (inputted in the model together with Time, which is part of the baseline model) using categorization accuracy achieved with numeric overlap as distance metric as the dependent variable. Subplots are ordered according to the reduction in AIC caused by adding the predictor to the baseline model: the most important predictor is in the top-left panel, then top-right, bottom-left, and finally bottom-right. 95% confidence bands are shown.</p
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
The figure shows the partial effects for the regression model on naming latencies. Each panel repres...
Within each growth layout, a logistic regression was performed to classify connection existence from...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Logistic mixed-effect model considering all predictors—Numeric overlap distance.</p
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
<p>(i.e. Dnight or the linear intercept parameter respectively, if a diel pattern was or was not obs...
Logistic mixed-effect models for single predictors (excluding function words).</p
Logistic mixed-effect models including all predictors (escluding function words).</p
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Users of logistic regression models often need to describe the overall predictive strength, or effec...
A well-established approach to modeling clustered data introduces random effects in the model of int...
Users of logistic regression models often need to describe the overall predictive strength, or effec...
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
The figure shows the partial effects for the regression model on naming latencies. Each panel repres...
Within each growth layout, a logistic regression was performed to classify connection existence from...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Logistic mixed-effect model considering all predictors—Numeric overlap distance.</p
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
<p>(i.e. Dnight or the linear intercept parameter respectively, if a diel pattern was or was not obs...
Logistic mixed-effect models for single predictors (excluding function words).</p
Logistic mixed-effect models including all predictors (escluding function words).</p
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Users of logistic regression models often need to describe the overall predictive strength, or effec...
A well-established approach to modeling clustered data introduces random effects in the model of int...
Users of logistic regression models often need to describe the overall predictive strength, or effec...
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
The figure shows the partial effects for the regression model on naming latencies. Each panel repres...
Within each growth layout, a logistic regression was performed to classify connection existence from...