Why is Statistical Testing Important in Epidemiology?
Statistical testing is crucial in epidemiology for several reasons:
Hypothesis Testing: It helps in evaluating hypotheses about relationships between risk factors and health outcomes. Causality: It aids in determining whether associations are likely to be causal. Public Health Interventions: It supports the assessment of the effectiveness of interventions. Resource Allocation: It guides the allocation of resources to areas where they are most needed.
