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Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models

Author

Listed:
  • Yutaka Yasui
  • Ziding Feng
  • Paula Diehr
  • Dale McLerran
  • Shirley A. A. Beresford
  • Charles E. McCulloch

Abstract

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Suggested Citation

  • Yutaka Yasui & Ziding Feng & Paula Diehr & Dale McLerran & Shirley A. A. Beresford & Charles E. McCulloch, 2004. "Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 60(4), pages 1043-1052, December.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:4:p:1043-1052
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00260.x
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    References listed on IDEAS

    as
    1. Sorensen, G. & Thompson, B. & Glanz, K. & Feng, Z. & Kinne, S. & DiClemente, C. & Emmons, K. & Heimendinger, J. & Probart, C. & Lichtenstein, E., 1996. "Work site-based cancer prevention: Primary results from the working well trial," American Journal of Public Health, American Public Health Association, vol. 86(7), pages 939-947.
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    Cited by:

    1. Kenward, Michael G. & Roger, James H., 2009. "An improved approximation to the precision of fixed effects from restricted maximum likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2583-2595, May.

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