Description of key variables, clinical classification, and outcome measures used in the model.</p
<p>Short description of model parameters (with the values imposed in all figures) and variables.</p
Description and statistics (mean, median and range) of the explanatory variables considered in the s...
<p>Summary of classification variables, regression model fit, and odds ratio of each regression’s ab...
Types of clinical outcomes and methods used for the measurement of clinical outcomes.</p
Clinical characteristics and treatment outcomes for patients in the two treatment arms.</p
Patient characteristics, comorbidities, complications, interventions and outcomes in Model 1.</p
Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p
Epidemiological model including exposures, potential confounders and outcome variables.</p
Characteristics of the patients and results of the evaluation measures according to the severity pro...
<p>Outcomes, the corresponding explanatory variables and the regression models.</p
<p>Descriptive statistics of the variables used in the regression models (N = 47).</p
<p>Description of variables used in the Linear Mixed Models and Generalized Linear Mixed Models.</p
<p>Clinical characteristics and study outcomes of patients at baseline and follow up.</p
<p>Description of the matching variables of the intervention and control group.</p
<p>Description of inclusion and exclusion criteria, treatments and outcome measures.</p
<p>Short description of model parameters (with the values imposed in all figures) and variables.</p
Description and statistics (mean, median and range) of the explanatory variables considered in the s...
<p>Summary of classification variables, regression model fit, and odds ratio of each regression’s ab...
Types of clinical outcomes and methods used for the measurement of clinical outcomes.</p
Clinical characteristics and treatment outcomes for patients in the two treatment arms.</p
Patient characteristics, comorbidities, complications, interventions and outcomes in Model 1.</p
Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p
Epidemiological model including exposures, potential confounders and outcome variables.</p
Characteristics of the patients and results of the evaluation measures according to the severity pro...
<p>Outcomes, the corresponding explanatory variables and the regression models.</p
<p>Descriptive statistics of the variables used in the regression models (N = 47).</p
<p>Description of variables used in the Linear Mixed Models and Generalized Linear Mixed Models.</p
<p>Clinical characteristics and study outcomes of patients at baseline and follow up.</p
<p>Description of the matching variables of the intervention and control group.</p
<p>Description of inclusion and exclusion criteria, treatments and outcome measures.</p
<p>Short description of model parameters (with the values imposed in all figures) and variables.</p
Description and statistics (mean, median and range) of the explanatory variables considered in the s...
<p>Summary of classification variables, regression model fit, and odds ratio of each regression’s ab...