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 ...

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 ...

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

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

A study by CUNY SPH doctoral student Eslam Abousamra and Distinguished Professor Luisa N. Borrell found major disparities in ...

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

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 ...

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

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 ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.