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 ...

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 ...

Quantitative research often feels like the most structured side of inquiry. It deals with numbers, measurement, and objectivity, offering a clear framework for testing ideas and identifying ...

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 ...

Nonparametric instrumental variable (NPIV) estimation is a cutting‐edge methodological framework employed to uncover causal relationships in the presence of endogenous regressors, without imposing ...

Many aspects of sleep and circadian physiology are sensitive to participant-level characteristics. While recent research robustly highlights the importance of considering participant-level demographic ...