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

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  • Sarah J. Ratcliffe
  • Justine Shults
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    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.

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    File URL: http://www.jstatsoft.org/v25/i14/paper
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    Bibliographic Info

    Article provided by American Statistical Association in its journal Journal of Statistical Software.

    Volume (Year): 25 ()
    Issue (Month): i14 ()
    Pages:

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    Handle: RePEc:jss:jstsof:25:i14

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    Web page: http://www.jstatsoft.org/

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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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