Logistic mixed-effect model considering all predictors—Numeric overlap distance.</p
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
A well-established approach to modeling clustered data introduces random effects in the model of int...
Model structures for linear mixed effects models fitted to simulated datasets.</p
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Graphical representation of the effects highlighted by the logistic mixed-effect models which includ...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
Logistic mixed-effect models including all predictors (escluding function words).</p
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>(i.e. Dnight or the linear intercept parameter respectively, if a diel pattern was or was not obs...
Model comparison between logistic regression and mixed effect Logistic regression.</p
Model comparison between logistic regression and mixed effect logistic regression.</p
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
The distance d is defined by expression 8, with smaller values indicating a better fit to the empiri...
<p>Comparison of linear mixed-effects models predicting weight from other measurable body parameters...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
A well-established approach to modeling clustered data introduces random effects in the model of int...
Model structures for linear mixed effects models fitted to simulated datasets.</p
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Graphical representation of the effects highlighted by the logistic mixed-effect models which includ...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
Effects of the logistic mixed-effect models which included a single predictor (inputted in the model...
Logistic mixed-effect models including all predictors (escluding function words).</p
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>(i.e. Dnight or the linear intercept parameter respectively, if a diel pattern was or was not obs...
Model comparison between logistic regression and mixed effect Logistic regression.</p
Model comparison between logistic regression and mixed effect logistic regression.</p
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
The distance d is defined by expression 8, with smaller values indicating a better fit to the empiri...
<p>Comparison of linear mixed-effects models predicting weight from other measurable body parameters...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
A well-established approach to modeling clustered data introduces random effects in the model of int...
Model structures for linear mixed effects models fitted to simulated datasets.</p
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