145 related articles for article (PubMed ID: 15558618)
1. GEE estimation of a misspecified time-varying covariate: an example with the effect of alcoholism treatment on medical utilization.
Wall MM; Dai Y; Eberly LE
Stat Med; 2005 Mar; 24(6):925-39. PubMed ID: 15558618
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.
Preisser JS; Lohman KK; Rathouz PJ
Stat Med; 2002 Oct; 21(20):3035-54. PubMed ID: 12369080
[TBL] [Abstract][Full Text] [Related]
4. Regression analysis of longitudinal binary data with time-dependent environmental covariates: bias and efficiency.
Schildcrout JS; Heagerty PJ
Biostatistics; 2005 Oct; 6(4):633-52. PubMed ID: 15917376
[TBL] [Abstract][Full Text] [Related]
5. Improving the estimation of change from baseline in a continuous outcome measure in the clinical trial setting.
Mayer-Hamblett N; Kronmal RA
Contemp Clin Trials; 2005 Feb; 26(1):2-16. PubMed ID: 15837448
[TBL] [Abstract][Full Text] [Related]
6. Sample size for a two-group comparison of repeated binary measurements using GEE.
Jung SH; Ahn CW
Stat Med; 2005 Sep; 24(17):2583-96. PubMed ID: 16118812
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Sample size estimation for GEE method for comparing slopes in repeated measurements data.
Jung SH; Ahn C
Stat Med; 2003 Apr; 22(8):1305-15. PubMed ID: 12687656
[TBL] [Abstract][Full Text] [Related]
9. A copula model for repeated measurements with non-ignorable non-monotone missing outcome.
Shen C; Weissfeld L
Stat Med; 2006 Jul; 25(14):2427-40. PubMed ID: 16143999
[TBL] [Abstract][Full Text] [Related]
10. Methods for interaction analyses using family-based case-control data: conditional logistic regression versus generalized estimating equations.
Hancock DB; Martin ER; Li YJ; Scott WK
Genet Epidemiol; 2007 Dec; 31(8):883-93. PubMed ID: 17565751
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Efficiency of regression estimates for clustered data.
Mancl LA; Leroux BG
Biometrics; 1996 Jun; 52(2):500-11. PubMed ID: 10766502
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. The impact of dichotomization in longitudinal data analysis: a simulation study.
Yoo B
Pharm Stat; 2010; 9(4):298-312. PubMed ID: 19904810
[TBL] [Abstract][Full Text] [Related]
16. Power calculations for generalized linear models in observational longitudinal studies: a simulation approach in SAS.
Gastañaga VM; McLaren CE; Delfino RJ
Comput Methods Programs Biomed; 2006 Oct; 84(1):27-33. PubMed ID: 16982112
[TBL] [Abstract][Full Text] [Related]
17. Two-stage functional mixed models for evaluating the effect of longitudinal covariate profiles on a scalar outcome.
Zhang D; Lin X; Sowers M
Biometrics; 2007 Jun; 63(2):351-62. PubMed ID: 17688488
[TBL] [Abstract][Full Text] [Related]
18. An improved quadratic inference function for parameter estimation in the analysis of correlated data.
Westgate PM; Braun TM
Stat Med; 2013 Aug; 32(19):3260-73. PubMed ID: 23280875
[TBL] [Abstract][Full Text] [Related]
19. Marginalized models for moderate to long series of longitudinal binary response data.
Schildcrout JS; Heagerty PJ
Biometrics; 2007 Jun; 63(2):322-31. PubMed ID: 17688485
[TBL] [Abstract][Full Text] [Related]
20. Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes.
Wang M; Kong M; Datta S
Stat Methods Med Res; 2011 Aug; 20(4):347-67. PubMed ID: 20223781
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
