Why are Contingency Tables Important in Epidemiology?
Contingency tables are vital for several reasons:
Data Organization: They help in systematically organizing large datasets. Hypothesis Testing: They are used in statistical tests like Chi-square tests to determine if there is a significant association between variables. Risk Assessment: They allow researchers to calculate measures like relative risk and odds ratio, which are crucial for understanding the strength of associations. Public Health Decisions: They inform decisions and strategies in disease prevention and management.
