Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Recognizing that administrative health care databases can be a valuable, yet challenging, tool in the nation's ongoing pursuit of personalized medicine, statisticians have developed advanced ...

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 ...

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 ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

A study has validated a new statistical model that uses multiple standardized test scores over time to predict future academic performance. The dynamic measurement model accurately predicted academic ...

A survey of all Arizona physicians found that accountable care organization, clinically integrated network, or integrated delivery network participation was associated with higher use of health ...