Multivariate logistic regression analysis indicated that, in comparison to the control group, postoperative constipation ...

The impact of bronchiectasis on the severity of COVID-19 infection has been contradictory. Some studies report that ...

This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors that are ...

Fault localization is indeed tedious and costly work during software maintenance. Studies indicate that combining both structural features and behavior characteristics of programs can be beneficial ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

The results of the multivariate logistic regression analysis indicated that unemployment (caused by poor recovery from TBI), lower GCS scores at admission, limb injuries, post-traumatic coma, frontal ...

Covariations in univariate logistic regression analysis were tested for multicollinearity and then a multivariate logistic regression analysis was performed. If either the tolerance (Tol) was less ...

A multivariate logistic regression analysis was used to predict political participation based on SES and internet use. Based on Arab Opinion Index data, the results of the analysis indicate that SES ...

Using this threshold identified for AKI grade ≥ 2, a multivariate logistic regression analysis to determine the risk factors for the elevated 48-hour MTX level was identified. Only variables that were ...

Multivariate Logistic Regression Model. Eq. 3 implies a polychotomous logistic regression of the full n × J taxa count table. This is numerically difficult as the analysis of each taxon potentially ...