666 related articles for article (PubMed ID: 19197953)
1. A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials.
Sun W; Shults J; Leonard M
Biom J; 2009 Feb; 51(1):5-18. PubMed ID: 19197953
[TBL] [Abstract][Full Text] [Related]
2. A modified pseudolikelihood approach for analysis of longitudinal data.
Wang YG; Zhao Y
Biometrics; 2007 Sep; 63(3):681-9. PubMed ID: 17825002
[TBL] [Abstract][Full Text] [Related]
3. The analysis of longitudinal polytomous data: generalized estimating equations and connections with weighted least squares.
Miller ME; Davis CS; Landis JR
Biometrics; 1993 Dec; 49(4):1033-44. PubMed ID: 8117899
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Efficient parameter estimation in longitudinal data analysis using a hybrid GEE method.
Leung DH; Wang YG; Zhu M
Biostatistics; 2009 Jul; 10(3):436-45. PubMed ID: 19346528
[TBL] [Abstract][Full Text] [Related]
6. Expected estimating equations for missing data, measurement error, and misclassification, with application to longitudinal nonignorable missing data.
Wang CY; Huang Y; Chao EC; Jeffcoat MK
Biometrics; 2008 Mar; 64(1):85-95. PubMed ID: 17608787
[TBL] [Abstract][Full Text] [Related]
7. Variable selection for marginal longitudinal generalized linear models.
Cantoni E; Flemming JM; Ronchetti E
Biometrics; 2005 Jun; 61(2):507-14. PubMed ID: 16011698
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation.
Cook RJ; Zeng L; Yi GY
Biometrics; 2004 Sep; 60(3):820-8. PubMed ID: 15339307
[TBL] [Abstract][Full Text] [Related]
10. Assessment of relative improvement due to weights within generalized estimating equations framework for incomplete clinical trials data.
Demirtas H
J Biopharm Stat; 2004 Nov; 14(4):1085-98. PubMed ID: 15587981
[TBL] [Abstract][Full Text] [Related]
11. Performance of generalized estimating equations in practical situations.
Lipsitz SR; Fitzmaurice GM; Orav EJ; Laird NM
Biometrics; 1994 Mar; 50(1):270-8. PubMed ID: 8086610
[TBL] [Abstract][Full Text] [Related]
12. Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods.
Localio AR; Berlin JA; Have TR
Stat Med; 2006 Aug; 25(16):2720-36. PubMed ID: 16345043
[TBL] [Abstract][Full Text] [Related]
13. Testing for ordered group effects in binary and continuous outcomes.
Farrell PJ; Park CG
Biom J; 2007 Aug; 49(4):585-98. PubMed ID: 17634976
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Estimating equations for measures of association between repeated binary responses.
Lipsitz SR; Fitzmaurice GM
Biometrics; 1996 Sep; 52(3):903-12. PubMed ID: 8805760
[TBL] [Abstract][Full Text] [Related]
16. Model selection for generalized estimating equations accommodating dropout missingness.
Shen CW; Chen YH
Biometrics; 2012 Dec; 68(4):1046-54. PubMed ID: 22463099
[TBL] [Abstract][Full Text] [Related]
17. Estimating treatment efficacy over time: a logistic regression model for binary longitudinal outcomes.
Choi L; Dominici F; Zeger SL; Ouyang P
Stat Med; 2005 Sep; 24(18):2789-805. PubMed ID: 16134133
[TBL] [Abstract][Full Text] [Related]
18. A stochastic regression model for general trend analysis of longitudinal continuous data.
Chao WH; Chen SH
Biom J; 2009 Aug; 51(4):571-87. PubMed ID: 19655314
[TBL] [Abstract][Full Text] [Related]
19. A latent-class mixture model for incomplete longitudinal Gaussian data.
Beunckens C; Molenberghs G; Verbeke G; Mallinckrodt C
Biometrics; 2008 Mar; 64(1):96-105. PubMed ID: 17608789
[TBL] [Abstract][Full Text] [Related]
20. Penalized generalized estimating equations for high-dimensional longitudinal data analysis.
Wang L; Zhou J; Qu A
Biometrics; 2012 Jun; 68(2):353-60. PubMed ID: 21955051
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]