EconPapers    
Economics at your fingertips  
 

Using an Empirical Binomial Hierarchical Bayesian Model as an Alternative to Analyzing Data From Multisite Studies

J. Michael Hardin, Billie S. Anderson, Lesa L. Woodby, Myra A. Crawford and Toya V. Russell
Additional contact information
J. Michael Hardin: University of Alabama, Tuscaloosa
Billie S. Anderson: University of Alabama, Tuscaloosa
Lesa L. Woodby: University of Alabama, Birmingham
Myra A. Crawford: University of Alabama, Birmingham
Toya V. Russell: Uniformed Services University of the Health Sciences, Bethesda, Maryland

Evaluation Review, 2008, vol. 32, issue 2, 143-156

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.

Keywords: multisite trials; empirical Bayes (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X07303585 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:32:y:2008:i:2:p:143-156

DOI: 10.1177/0193841X07303585

Access Statistics for this article

More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:evarev:v:32:y:2008:i:2:p:143-156