On the Accuracy of Efficiency of Estimating Equation Approach
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Cited by:
- Nores, Maria Laura & Diaz, Maria del Pilar, 2008. "Some properties of regression estimators in GEE models for clustered ordinal data," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3877-3888, March.
- 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.
- Justine Shults & Ardythe L. Morrow, 2002. "Use of Quasi–Least Squares to Adjust for Two Levels of Correlation," Biometrics, The International Biometric Society, vol. 58(3), pages 521-530, September.
- You-Gan Wang & Xu Lin, 2005. "Effects of Variance-Function Misspecification in Analysis of Longitudinal Data," Biometrics, The International Biometric Society, vol. 61(2), pages 413-421, June.
- repec:jss:jstsof:25:i14 is not listed on IDEAS
- Huang, Youjun & Pan, Jianxin, 2021. "Joint generalized estimating equations for longitudinal binary data," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
- María Carmen Pardo & Rosa Alonso, 2019. "Working correlation structure selection in GEE analysis," Statistical Papers, Springer, vol. 60(5), pages 1447-1467, October.
- Gosho, Masahiko, 2014. "Criteria to Select a Working Correlation Structure in SAS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(c01).
- O’Shaughnessy, P.Y. & Welsh, A.H., 2018. "Bootstrapping longitudinal data with multiple levels of variation," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 117-131.
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