GEEQBOX: A MATLAB toolbox for generalized estimating equations and quasi-least squares

被引：0

作者：

Ratcliffe, Sarah J. ^{[1
]}

Shults, Justine ^{[1
]}

机构：

[1] Univ Penn, Sch Med, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2008年 / 25卷 / 14期

关键词：

correlated data; longitudinal data; generalized estimating equations; quasi-least squares; MATLAB;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating (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, Bernoulii 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.

引用

页码：1 / 14

页数：14

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