GEEQBOX

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

This software is also peer reviewed by journal JSS.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 5 articles , 1 standard article )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Zhang, Qiang; Ip, Edward H.; Pan, Junhao; Plemmons, Robert: Individual-specific, sparse inverse covariance estimation in generalized estimating equations (2017)
  2. Olewuezi, N. P.; Onoghojobi, B.; Akwukwaegbu, J. C.: Fuzzy quasi least squares regression approach (2015)
  3. Han-Joo Kim; Justine Shults: %QLS SAS Macro: A SAS Macro for Analysis of Correlated Data Using Quasi-Least Squares (2010) not zbMATH
  4. Shults, Justine; Ratcliffe, Sarah J.: Analysis of multi-level correlated data in the framework of generalized estimating equations via xtmultcorr procedures in Stata and qls functions in Matlab (2009)
  5. Sarah Ratcliffe; Justine Shults: GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares (2008) not zbMATH