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 ...

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 ...

Some recent research has suggested that macroeconomic variables, such as output and inflation, can improve interest rate forecasts. However, the evidence for this puzzling result is based on ...

A growing share of polling is conducted with online opt-in samples. 1 This trend has raised some concern within the industry because, while low participation rates pose a challenge for all surveys, ...

This paper discusses the log-multiplicative association model and demonstrates how it can be used in a variety of research situations in which ordinal variables are encountered. The examples pertain ...

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...