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GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares

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  • Ratcliffe, Sarah J.
  • Shults, Justine

Abstract

The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature. GEEQBOX is currently able to handle correlated data that follows a normal, Bernoulli or Poisson distribution, and that is assumed to have an AR(1), Markov, tri-diagonal, equicorrelated, unstructured or working independence correlation structure. This toolbox is for use with MATLAB.

Suggested Citation

  • Ratcliffe, Sarah J. & Shults, Justine, 2008. "GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i14).
    • Handle: RePEc:jss:jstsof:v:025:i14
    DOI: http://hdl.handle.net/10.18637/jss.v025.i14
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Abdel-Baki Monal A., 2012. "Coalitions within the Egyptian Banking Sector: Catalysts of the Popular Revolution," Business and Politics, De Gruyter, vol. 14(1), pages 1-26, April.
    2. Zhang, Qiang & Ip, Edward H. & Pan, Junhao & Plemmons, Robert, 2017. "Individual-specific, sparse inverse covariance estimation in generalized estimating equations," Statistics & Probability Letters, Elsevier, vol. 122(C), pages 96-103.
    3. repec:jss:jstsof:35:i02 is not listed on IDEAS

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