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Use of Quasi–Least Squares to Adjust for Two Levels of Correlation

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  • Justine Shults
  • Ardythe L. Morrow

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Suggested Citation

  • Justine Shults & Ardythe L. Morrow, 2002. "Use of Quasi–Least Squares to Adjust for Two Levels of Correlation," Biometrics, The International Biometric Society, vol. 58(3), pages 521-530, September.
  • Handle: RePEc:bla:biomet:v:58:y:2002:i:3:p:521-530
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00521.x
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    References listed on IDEAS

    as
    1. Brajendra C. Sutradhar & Kalyan Das, 2000. "On the Accuracy of Efficiency of Estimating Equation Approach," Biometrics, The International Biometric Society, vol. 56(2), pages 622-625, June.
    2. Martin Crowder, 2001. "On repeated measures analysis with misspecified covariance structure," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(1), pages 55-62.
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    Cited by:

    1. Diana Miglioretti & Patrick Heagerty, 2004. "Marginal Modeling of Multilevel Binary Data with Time-Varying Covariates," UW Biostatistics Working Paper Series 1050, Berkeley Electronic Press.
    2. A. A. Mitani & E. K. Kaye & K. P. Nelson, 2021. "Marginal analysis of multiple outcomes with informative cluster size," Biometrics, The International Biometric Society, vol. 77(1), pages 271-282, March.
    3. repec:jss:jstsof:25:i14 is not listed on IDEAS
    4. Anuradha Roy & Ricardo Leiva, 2008. "Testing of a Structures Covariance Matrix for Three-Level Repeated Measures Data," Working Papers 0037, College of Business, University of Texas at San Antonio.
    5. Pamela C. Smith & Dana A. Forgione, 2008. "Global Outsourcing of Healthcare: A Medical Tourism Decision Model," Working Papers 0033, College of Business, University of Texas at San Antonio.
    6. Justine Shults & Sarah J. Ratcliffe & Mary Leonard, 2007. "Improved generalized estimating equation analysis via xtqls for quasi-least squares in Stata," Stata Journal, StataCorp LP, vol. 7(2), pages 147-166, June.
    7. repec:jss:jstsof:35:i02 is not listed on IDEAS

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