This new study investigated the ability of a multiparametric model to calculate risk of eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) by comparing its clinical characteristics with ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

In this study, the effects of maternal smoking along with other clinical risk factors in developing severe retinopathy of prematurity (ROP) were evaluated. Records of newborn infants with an estimated ...

This retrospective, case–control study was conducted at a large academic medical center. Cases were defined as any psychiatric inpatient age 18 years or older who had a documented fall between July 1, ...

The proportional odds logistic regression model is widely used for relating an ordinal outcome to a set of covariates. When the number of outcome categories is relatively large, the sample size is ...