Latest articles of Journal of Data Science

Pediatric vaccine efficacy studies face enrollment challenges, often resulting in underpowered studies to confirm vaccine efficacy. To address the challenge, this paper proposes a novel Two-Tier Bayesian dynamic borrowing framework that selectively incorporates two heterogeneous sources of historical data of adult populations into pediatric studies. The method employs similarity...

Accurate forecasting of student yield is critical for academic institutions because enrollment projections directly affect resource allocation, course offerings, housing capacity, and budget decisions. Existing enrollment models primarily focus on predicting individual matriculation probabilities, whereas institutional planning depends on accurate prediction of the aggregate enr...

High quality record linkages are critical for enriching survey data with alternative data sources. To enhance the American Community Survey (ACS) (US Census Bureau, 2025), we evaluated several options to match commercially...