Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments.

ABSTRACT: The purpose of this paper is to demonstrate and evaluate the use of Bayesian dynamic borrowing (Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case of a general framework of historical borrowing where the degree of borrowing depends on the heterogeneity among historical data and current data. A joint prior distribution over the historical and current data sets is specified with the degree of heterogeneity across the data sets controlled by the variance of the joint distribution. We apply Bayesian dynamic borrowing to both single-level and multilevel models and compare this approach to other historical bo

SUBMITTER: Kaplan D 

PROVIDER: S-EPMC9185721 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature