Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach
Abstract Logistic regression models lead to a bias of the odds ratio (OR) as estimated using the maximum-likelihood (ML) method, when there are few study participants at the binary outcome and factor levels. Although Bayesian methods are frequently applied to reduce this sparse data bias, the specification of the prior …