Parametric methods provide several advantages. They can be more efficient than non-parametric methods, as they use all available data to estimate parameters. They also allow for more complex modeling, including the ability to control for multiple confounders. Moreover, when the assumptions of parametric methods are met, they tend to provide more precise and accurate estimates.