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 ...

Behavioral variability is quietly sabotaging clinical trials—but it doesn't have to. Here's how predictive behavioral modeling can improve trial design, reduce dropout, and deliver more inclusive, ...

Health programs that use social and related data obtained through surveys or other methods need to distinguish among so-called independent variables. Three groups of independent variables are (a) ...

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 ...

Historically, public opinion surveys have relied on the ability to adjust their datasets using a core set of demographics – sex, age, race and ethnicity, educational attainment, and geographic region ...

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 ...

The article about using animal models in human health applications was informative (C&EN, March 20, page 30). The predominant use of male rodents in many studies was shown to raise serious questions ...