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 ...

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 ...

In this paper we use simulations to examine how endogeneity biases the results reported by ordinary least squares (OLS) regression. In addition, we examine how instrumental variable techniques help to ...

Recent advances in survey methodology and statistical theory have led to the development of robust estimation techniques that address the inherent challenges of measuring sensitive variables. In many ...

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 ...

What is a correlational study? There are many correlational study definitions but I am going to tell you a simple one. The correlational study is the study of the relationship between two variables.

A survey of 75 biomedical articles dealing with stress-dependent blood parameters in caged primates revealed that the conditions under which blood collection occurred were in most cased described ...

How should we study biodiversity change? In an ideal world, we would study many different aspects of biodiversity and how they change over time. This would allow us to distinguish between natural ...

Marketing research professionals often use inferential or descriptive statistics to guide major marketing decisions. There are a number of statistical tests that explore the relationship between the ...