How can statistical modeling identify disease risk factors?
Diseases are complex phenomena that depend on multiple factors, such as genetics, environment, lifestyle, and exposure. To understand how these factors affect the probability and severity of diseases, researchers use statistical modeling techniques that can capture the relationships and interactions among them. Statistical modeling can help identify risk factors, estimate their effects, and test hypotheses about disease mechanisms and prevention strategies. In this article, you will learn about some of the basic concepts and methods of statistical modeling for disease risk analysis.