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Quasi‐least squares fitting

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Quasi‐least squares (QLS) is a computational method for estimation of the correlation parameters in the framework of generalized estimating equations (GEE) [Liang and Zeger. Biometrika 1986, 73:13–22]. QLS is a complementary approach to GEE, that might be considered if convergence is an issue, or if the implementation of a plausible model for the correlations is not straightforward for GEE. Software for QLS is available in SAS, Stata, MATLAB, and R. In addition, a comprehensive review of the approach [Shults and Hilbe. Quasi‐Least Squares Regression. Boca Raton, FL: Chapman & Hall/CRC; 2014] was recently published in the highly regarded Chapman & Hall/CRC Statistical Monograph & Applied Probability Monograph Series. WIREs Comput Stat 2015, 7:194–204. doi: 10.1002/wics.1349 This article is categorized under: Statistical Models > Fitting Models Algorithms and Computational Methods > Least Squares

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Algorithms and Computational Methods > Least Squares
Statistical Models > Fitting Models

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