Analysis of clustered data: A combined estimating equations approach

Biometrika

Volumn 89, Issue 3, 2002, Pages 567-578

  Stoner, Julie A ^a   Leroux, Brian G ^b  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Between cluster and within cluster effects; Generalised estimating equations; Optimal estimating equation theory

Indexed keywords

EID: 24944553763     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/89.3.567     Document Type: Article

References (15)

1. BRESLOW, N. E. & CLAYTON, D. G. (1993). Approximate inference in generalized linear mixed models. J. Am. Statist. Assoc. 88, 9-25.
2. CROWDER, M. (1995). On the use of a working correlation matrix in using generalised linear models for repeated measures. Biometrika 82, 407-10.
3. FITZMAURICE, G. M. (1995). A caveat concerning independence estimating equations with multivariate binary data. Biometrics 51, 309-17.
4. FOUTZ, R. V. (1977). On the unique consistent solution to the likelihood equations. J. Am. Statist. Assoc. 72, 147-8.
5. GODAMBE, V. P. (1960). An optimum property of regular maximum likelihood estimation. Ann. Math. Statist. 31, 1208-12.
6. HANSEN, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica 50, 1029-54.
7. HEYDE, C. C. (1989). Statistical Data Analysis and Inference. Amsterdam: Elsevier.
8. LIANG, K. Y. & ZEGER, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22.
9. LIPSITZ, S. R., FITZMAURICE, G. M., ORAV, E. J. & LAIRD N. M. (1994). Performance of generalized estimating equations in practical situations. Biometrics 50, 270-8.
10. MANCL, L. A. & LEROUX, B. G. (1996). Efficiency of regression estimates for clustered data. Biometrics 52, 500-11.
11. MCCULLAGH, P. & NELDER, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman and Hall.
12. NEUHAUS, J. M. (1993). Estimation efficiency and tests of covariate effects with clustered binary data. Biometrics 49, 989-96.
13. QU, A., LINDSAY, B. G. & LI, B. (2000). Improving generalised estimating equations using quadratic inference functions. Biometrika 87, 823-36.
14. SHARPLES, K. & BRESLOW, N. (1992). Regression analysis of correlated binary data: Some small sample results for the estimating equation approach. J. Statist. Comp. Simul. 42, 1-20.
15. ZEGER, S. L. & LIANG, K. Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42, 121-30.