Why is Prior Probability Important in Epidemiology?
Prior probability is essential in Epidemiological studies because it helps in forming a baseline understanding of the disease prevalence or the likelihood of exposure to a risk factor. This preliminary estimate can influence the design of studies, the interpretation of screening tests, and the assessment of public health interventions. By incorporating prior probability, researchers can make more informed decisions and better interpret the results in the context of existing knowledge.
