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

Author

Listed:
  • 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)

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.

Suggested Citation

  • J. Michael Hardin & Billie S. Anderson & Lesa L. Woodby & Myra A. Crawford & Toya V. Russell, 2008. "Using an Empirical Binomial Hierarchical Bayesian Model as an Alternative to Analyzing Data From Multisite Studies," Evaluation Review, , vol. 32(2), pages 143-156, April.
    • Handle: RePEc:sae:evarev:v:32:y:2008:i:2:p:143-156
    DOI: 10.1177/0193841X07303585
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    References listed on IDEAS

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    1. Lauby, J.L. & Smith, P.J. & Stark, M. & Person, B. & Adams, J., 2000. "A community-level HIV prevention intervention for inner-city women: Results of the women and infants demonstration projects," American Journal of Public Health, American Public Health Association, vol. 90(2), pages 216-222.
    2. Windsor, R.A. & Lowe, J.B. & Perkins, L.L. & Smith-Yoder, D. & Artz, L. & Crawford, M. & Amburgy, K. & Boyd Jr., N.R., 1993. "Health education for pregnant smokers: Its behavioral impact and cost benefit," American Journal of Public Health, American Public Health Association, vol. 83(2), pages 201-206.
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    Keywords

    multisite trials; empirical Bayes;

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