Prior information is utilized in various ways, such as:
Bayesian Analysis: This approach combines prior information with new data to update the probability of a hypothesis being true. Study Design: Prior information helps in choosing appropriate study designs, such as case-control or cohort studies. Risk Assessment: Information on known risk factors can guide the assessment of new risk factors.
