Table 2. Results of the multivariable logistic regression analysis for the entire study population, assessing associations between patient demographics, congenital diagnosis and complexity of cardiac ...

Categorical variables were compared using the chi-square test. Pearson's and Spearman's correlation analyses were undertaken to evaluate the relationship between the R-wave amplitude and strain ...

LPA identified distinct SWB characteristics, and influencing factors were analysed using χ2 tests and multivariable logistic regression analysis. Results Nurses’ SWB was classified into three profiles ...

Multivariable logistic regression identified factors associated with drug indication withdrawal. Findings Among 167 accelerated approval indications for 113 anticancer drugs, by August 2024, 102 (61%) ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Background: The clinico-genomic factors influencing clinical trial participation and their impact on clinical outcomes remain unclear. We investigated which clinico-genomic characteristics predict ...

Survey-weighted multivariable logistic regression was used to identify factors associated with prolonged ED stays. In total, 975 records were included, ...

Ordinal logistic regression. Alternatively, ordinal logistic regression can be used. It comes in several versions (2), and the one most frequently used is called 'proportional odds logistic regression ...

4 credits overlap with FHE4120 – Introduction to Logistic and Cox regression. Teaching. The course is organized as full day teaching over four days and includes lectures, exercises and PC-labs. The ...

Five distinct BII-related symptom clusters were identified, none of which were significantly associated with SBI-exposure in multivariable logistic regression analyses. Additionally, when comparing ...