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 ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

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, ...

Thus the program to implement the multivariate linear regression model for predicting the price of the house and number of occupants in the house with SGD regressor is written and verified using ...

In the last few years, the interest in the development of new pervasive or mobile implementations of air quality multi-sensor devices, has significantly grown. New application opportunities appeared ...

Climate change in response to a change in external forcing can be understood in terms of fast response to the imposed forcing and slow feedback associated with surface temperature change. Previous ...

We recently generalized the formerly alignment-dependent multivariate image analysis applied to quantitative structure–activity relationships (MIA-QSAR) method through the application of the discrete ...

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 ...