These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
5. Generalized estimating equations. Notes on the choice of the working correlation matrix. Molenberghs G Methods Inf Med; 2010; 49(5):419-20. PubMed ID: 20944870 [No Abstract] [Full Text] [Related]
6. Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach. Westgate PM Biom J; 2014 May; 56(3):461-76. PubMed ID: 24431030 [TBL] [Abstract][Full Text] [Related]
7. A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data. Shults J; Sun W; Tu X; Kim H; Amsterdam J; Hilbe JM; Ten-Have T Stat Med; 2009 Aug; 28(18):2338-55. PubMed ID: 19472307 [TBL] [Abstract][Full Text] [Related]
8. Application of robust estimating equations to the analysis of quantitative longitudinal data. Hu M; Lachin JM Stat Med; 2001 Nov; 20(22):3411-28. PubMed ID: 11746326 [TBL] [Abstract][Full Text] [Related]
9. Sample size calculations for controlled clinical trials using generalized estimating equations (GEE). Dahmen G; Rochon J; König IR; Ziegler A Methods Inf Med; 2004; 43(5):451-6. PubMed ID: 15702199 [TBL] [Abstract][Full Text] [Related]
10. Use of generalized estimating equations in segregation analysis of continuous outcomes. Stram DO; Lee H; Thomas DC Genet Epidemiol; 1993; 10(6):575-9. PubMed ID: 8314063 [TBL] [Abstract][Full Text] [Related]
11. Effects of variance-function misspecification in analysis of longitudinal data. Wang YG; Lin X Biometrics; 2005 Jun; 61(2):413-21. PubMed ID: 16011687 [TBL] [Abstract][Full Text] [Related]
12. Selection criterion of work matrix as a function of limiting estimates of the covariance matrix of correlated data in GEE. Silva JAD; Cirillo MA Biom J; 2018 Sep; 60(5):979-990. PubMed ID: 30059161 [TBL] [Abstract][Full Text] [Related]
13. A determinant-based criterion for working correlation structure selection in generalized estimating equations. Jaman A; Latif MA; Bari W; Wahed AS Stat Med; 2016 May; 35(11):1819-33. PubMed ID: 26626276 [TBL] [Abstract][Full Text] [Related]
14. Correlation structure and variable selection in generalized estimating equations via composite likelihood information criteria. Nikoloulopoulos AK Stat Med; 2016 Jun; 35(14):2377-90. PubMed ID: 26822854 [TBL] [Abstract][Full Text] [Related]
15. Application of generalized estimating equations to a study of in vitro radiation sensitivity. Cologne JB; Carter RL; Fujita S; Ban S Biometrics; 1993 Sep; 49(3):927-34. PubMed ID: 8241379 [TBL] [Abstract][Full Text] [Related]
16. Concordance correlation coefficients estimated by generalized estimating equations and variance components for longitudinal repeated measurements. Tsai MY Stat Med; 2017 Apr; 36(8):1319-1333. PubMed ID: 28105775 [TBL] [Abstract][Full Text] [Related]
17. Working-correlation-structure identification in generalized estimating equations. Hin LY; Wang YG Stat Med; 2009 Feb; 28(4):642-58. PubMed ID: 19065625 [TBL] [Abstract][Full Text] [Related]
18. GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations. Shing TL; Preisser JS; Zink RC Comput Methods Programs Biomed; 2021 Sep; 208():106276. PubMed ID: 34325377 [TBL] [Abstract][Full Text] [Related]
19. An approximate marginal logistic distribution for the analysis of longitudinal ordinal data. Nooraee N; Abegaz F; Ormel J; Wit E; van den Heuvel ER Biometrics; 2016 Mar; 72(1):253-61. PubMed ID: 26458164 [TBL] [Abstract][Full Text] [Related]