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Journal Articles

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

Hardin, J. Michael - Personal Name; Anderson, Billie S. - Personal Name; Woodby, Lesa L. - Personal Name; Crawford, Myra A. - Personal Name; Russell, Toya V. - Personal Name;

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.


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Detail Information
Series Title
Evaluation Review
Call Number
-
Publisher
California : Sage Publications., 2008
Collation
-
Language
English
ISBN/ISSN
0193-841X
Classification
-
Content Type
-
Media Type
-
Carrier Type
-
Edition
Vol. 32, No. 2, April 2008. Page 143-156
Subject(s)
multisite trials
empirical Bayes
Using an Empirical Binomial Hierarchical Bayesian
Specific Detail Info
-
Statement of Responsibility
-
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Established in 2003, the Library of Kemitraan was originally designed to record and collect all Kemitraan and grantees publications. However, today it broadly develops and serves more sectors to expand the collection to facilitate research activities, particularly since the inception of the Knowledge and Research Management within Kemitraan.

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