Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

In this special guest feature, Carol Wells reviews the new book by Scott E. Page entitled “The Model Thinker.” A hands-on reference for the working data scientist, “The Model Thinker” challenges us to ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

The certificate will augment students’ learning while pursuing a Master’s or Ph.D. in a specific domain. Students in the certificate will develop deep technical skills in big data, statistical ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...