This study analyzes life expectancy data provided by the World Health Organization (WHO) to understand the impact of socioeconomic and health indicators on life expectancy. We perform data ...

Understanding the linear relationship between two numerical variables is essential for effective data analysis. Pearson’s correlation coefficient (\(r\)) measures the strength and direction of an ...

Understanding the complex relationships among human traits and diseases is a fundamental goal of epidemiology. Randomized controlled trials and longitudinal studies are time-consuming and expensive, ...

Regression imputation is commonly used to compensate for item nonresponse when auxiliary data are available. It is common practice to compute survey estimators by treating imputed values as observed ...

In a recent Concepts paper in Ecology, Thomson et al. emphasized that assumptions of conventional correlation and regression analyses fundamentally conflict with the ecological concept of limiting ...

Mental health issues including depression and anxiety are growing concerns that affect people across all ages, countries and industries. In the workplace, these issues are often under-reported and ...