How Do Prior Distributions Impact Decision-Making?
In clinical practice, prior distributions can guide decision-making processes. For instance: - Treatment Plans: Physicians can use Bayesian models with prior distributions to tailor treatment plans based on individual patient data and historical outcomes. - Policy Making: Health policy makers can use prior distributions to predict cancer trends and allocate resources more effectively.
