title: Using an empirical binomial hierarchical Bayesian model as an alternative to analyzing data from multisite studies.
abstract: This article explores the statistical methodologies used in demonstration and effectiveness studies when the treatments are applied across multiple settings. The importance of evaluating and how to evaluate these types of studies are discussed. As an alternative to standard methodology, the authors of this article offer an empirical binomial hierarchical Bayesian model as a way to effectively evaluate multisite studies. An application of using the Bayesian model in a real-world multisite study is given.
authors.affiliation: Department of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, USA.
authors.forename: J Michael
authors.initials: JM
authors.lastname: Hardin
authors.forename: Billie S
authors.initials: BS
authors.lastname: Anderson
authors.forename: Lesa L
authors.initials: LL
authors.lastname: Woodby
authors.forename: Myra A
authors.initials: MA
authors.lastname: Crawford
authors.forename: Toya V
authors.initials: TV
authors.lastname: Russell
mesh_terms: D000293:Adolescent; D000328:Adult; D001499:Bayes Theorem; D016010:Binomial Distribution; D003627:Data Interpretation, Statistical; D036262:Empirical Research; D005260:Female; D006801:Humans; D008429:Maternal Welfare; D015233:Models, Statistical; D015337:Multicenter Studies as Topic / Q000379:methods*; D011247:Pregnancy; D011295:Prenatal Care; D012106:Research; D012907:Smoking; D016540:Smoking Cessation; D016008:Statistical Distributions