Data management and analysis: For this study, data were entered in a Microsoft Excel database and analysed using Statistical Packages for Social Sciences (SPSS) version ... we carried out a ...

In multivariate regression analysis, after adjusting for the potential confounding effects of gestational age, parity, history of adverse pregnancy, active SLE, active LN and clinical medications, we ...

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...

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 ...

Several studies have applied the multivariate technique for soil quality analysis (Pragana et al., 2012; Freitas et al., 2014; Arcoverde et al., 2015; Oliveira et al., 2015). Therefore, this study ...

The exam is a written take-home assignment that asks for a concise yet accurate report of a data-analysis on a custom dataset using the strategies and model framework taught in the course. Maximum ...

Bacterial pathogens are one of the primary causes of human morbidity worldwide. Historically, antibiotics have been highly effective against most bacterial pathogens; however, the increasing ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...

A two-tailed P-value <0.05 was considered statistically significant variables demonstrating statistical significance were chosen for subsequent multivariate analysis. Multicollinearity test: To ...