What are the advantages of using rjags in Epidemiology?
The use of rjags in Epidemiology offers several advantages:
Incorporation of prior knowledge: Bayesian analysis allows for the inclusion of prior information, which can improve the precision of estimates. Handling of missing data: Bayesian methods are well-suited for dealing with missing data, which is a common issue in epidemiological studies. Uncertainty quantification: Provides a natural framework for quantifying uncertainty in model parameters and predictions. Model comparison: Facilitates the comparison of different models using criteria such as the Deviance Information Criterion (DIC).
