Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...

College-level statistics courses are evolving from formula-heavy lectures to hands-on, real-world applications. From STA2023 syllabi to open case studies, students now practice statistical thinking ...

Applied statistics is more than numbers—it’s a way to solve real-world problems in social science, healthcare, business, and beyond. From mastering research design to applying advanced data analysis, ...

The study was a descriptive cross-sectional survey aimed at finding out predictors of attrition intentions among tutors in colleges of education in Ghana. Structured questionnaire was adapted and ...

Background and objective The inadequate use of basic statistics is the main responsible for scientific article misinterpretation. The purpose of this review article was to review some basic ...

National statistical institutes (NSI's) are increasingly interested in using non-probability data to produce official statistics. Examples are information on the internet, social media messages, ...

Neurointervention has seen significant advancements in recent decades with the adoption of myriad new technologies and techniques. Initially reliant on case reports and small case series, we now ...

Cardiovascular diseases remain the leading cause of global mortality, necessitating robust screening programs. Multidisciplinary care teams reduce mortality rates in complex heart failure patients ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Quantitative methods in psychology have been a source of controversy for decades. When misapplied or misinterpreted, they can provide a false sense of objectivity and/or lead to faulty inferences, ...