The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

Diabetes incidence was higher among postmenopausal women who reported SARS-CoV-2 infection, multiple COVID-19 symptoms, or COVID-19 hospitalization.

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Background Although voting is recognised as a social determinant of health, the association between electoral participation ...

Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Article: Ryan Wiser et al., “Factors influencing recent trends in retail electricity prices in the United States,” The Electricity Journal 38:4 (December 2025). Consumers and policymakers have ...