A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

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 ...

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 ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

In the ever-evolving field of clinical diagnostics, the fusion of disciplines often leads to groundbreaking advancements. As a statistician and a biomedical scientist, we have found a shared interest ...

This course is compulsory on the MSc in Data Science and MSc in Operations Research & Analytics. This course is available on the MSc in Health Data Science. This course is available with permission as ...