In any scientific research, there are typically two variables of interest: independent variables and dependent variables. In forming the backbone of scientific experiments, they help scientists ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Since its emergence, chemometrics has been based essentially on factorial methods, whose aim is to extract meaningful directions in the space of the measured variables, called latent variables, or ...

Hi, I'm Howard Hsieh – a Graduate Research Assistant at the Statistical Data Mining Laboratory, NTU. My research is centered on advanced statistical methods with a focus on variable selection and ...

Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...

Michael Yudell, PhD, a professor in the Dornsife School of Public Health, wrote a March 9 Public Health Post piece about the misuse of racial categories in biomedical research. "Many public health ...

Neuromuscular variables are known to provide useful information to enhance training prescription and its monitoring has wide application for populations from high-level athletes to elderly people. Due ...