TY  - BOOK
AU  - Shults,Justine
AU  - Hilbe,Joseph M.
TI  - Quasi-least squares regression
T2  - Monographs on statistics and applied probability
SN  - 9781420099935 (hardcover : alk. paper)
U1  - 000SA.067 23
PY  - 2014///
CY  - Boca Raton :           
PB  - CRC Press, 
KW  - Least squares
KW  - Regression analysis
KW  - Mathematical models
N1  - Includes bibliographical references (pages 191-200) and index; Part I: Introduction; 
1: Introduction; 
2: Review of Generalized Linear Models and Generalized Estimating Equations; 

Part II: Quasi-Least Squares Theory and Applications; 
3. History and Theory of Quasi-Least Squares Regression; 
4. Mixed Linear Structures and Familial Data; 
5. Correlation Structures for Clustered and Longitudinal Data; 
6. Analysis of Data with Multiple Sources of Correlation; 
7. Correlated Binary Data; 
8. Assessing Goodness of Fit and Choice of Correlation Structure for QLS and GE; 
9. Sample Size and Demonstration;
Bibliography;
Index
N2  - Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods
ER  -