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

Multivariate logistic regression was performed to investigate the association of demographic and audiological factors with effective therapy. Results According to the THI score changes pre and post ...

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 ...

Factors associated with mortality in patients diagnosed with surgical wound infection after cardiothoracic surgery - multivariate logistic regression of the score.

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.

Background The Prognostic Nutritional Index (PNI), calculated from serum albumin levels and lymphocyte counts, is a simple ...

Arne Slot's table-topping Liverpool take on Leicester City at Anfield on Boxing Day, hoping to at least maintain their four-point lead at the top of the Premier League.

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 ...

Visualizing data is an integral step in interpreting multivariate results. R provides various plotting functions that can help you see patterns and relationships.