336 related articles for article (PubMed ID: 17623344)
1. A mixed model-based variance estimator for marginal model analyses of cluster randomized trials.
Braun TM
Biom J; 2007 Jun; 49(3):394-405. PubMed ID: 17623344
[TBL] [Abstract][Full Text] [Related]
2. A comparison of methods to analyse continuous data from pseudo cluster randomized trials.
Teerenstra S; Moerbeek M; Melis RJ; Borm GF
Stat Med; 2007 Sep; 26(22):4100-15. PubMed ID: 17328006
[TBL] [Abstract][Full Text] [Related]
3. Modified robust variance estimator for generalized estimating equations with improved small-sample performance.
Wang M; Long Q
Stat Med; 2011 May; 30(11):1278-91. PubMed ID: 21538453
[TBL] [Abstract][Full Text] [Related]
4. An evaluation of statistical approaches for analyzing physician-randomized quality improvement interventions.
Stedman MR; Gagnon DR; Lew RA; Solomon DH; Brookhart MA
Contemp Clin Trials; 2008 Sep; 29(5):687-95. PubMed ID: 18571476
[TBL] [Abstract][Full Text] [Related]
5. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data.
Lipsitz SR; Dear KB; Zhao L
Biometrics; 1994 Sep; 50(3):842-6. PubMed ID: 7981404
[TBL] [Abstract][Full Text] [Related]
6. Improved hypothesis testing for coefficients in generalized estimating equations with small samples of clusters.
McCaffrey DF; Bell RM
Stat Med; 2006 Dec; 25(23):4081-98. PubMed ID: 16456895
[TBL] [Abstract][Full Text] [Related]
7. A comparison of the statistical power of different methods for the analysis of cluster randomization trials with binary outcomes.
Austin PC
Stat Med; 2007 Aug; 26(19):3550-65. PubMed ID: 17238238
[TBL] [Abstract][Full Text] [Related]
8. Sample size adjustments for varying cluster sizes in cluster randomized trials with binary outcomes analyzed with second-order PQL mixed logistic regression.
Candel MJ; Van Breukelen GJ
Stat Med; 2010 Jun; 29(14):1488-501. PubMed ID: 20101669
[TBL] [Abstract][Full Text] [Related]
9. Small-sample adjustments in using the sandwich variance estimator in generalized estimating equations.
Pan W; Wall MM
Stat Med; 2002 May; 21(10):1429-41. PubMed ID: 12185894
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Estimating equations for association structures.
Yan J; Fine J
Stat Med; 2004 Mar; 23(6):859-74; discussion 875-7,879-80. PubMed ID: 15027075
[TBL] [Abstract][Full Text] [Related]
12. [Statistical analysis of community-based studies -- presentation and comparison of possible solutions with reference to statistical meta-analytic methods].
Twardella D; Bruckner T; Blettner M
Gesundheitswesen; 2005 Jan; 67(1):48-55. PubMed ID: 15672306
[TBL] [Abstract][Full Text] [Related]
13. A simulation study of odds ratio estimation for binary outcomes from cluster randomized trials.
Ukoumunne OC; Carlin JB; Gulliford MC
Stat Med; 2007 Aug; 26(18):3415-28. PubMed ID: 17154246
[TBL] [Abstract][Full Text] [Related]
14. Strategies for analyzing multilevel cluster-randomized studies with binary outcomes collected at varying intervals of time.
Olsen MK; DeLong ER; Oddone EZ; Bosworth HB
Stat Med; 2008 Dec; 27(29):6055-71. PubMed ID: 18825655
[TBL] [Abstract][Full Text] [Related]
15. A comparison of confidence interval methods for the intraclass correlation coefficient in cluster randomized trials.
Ukoumunne OC
Stat Med; 2002 Dec; 21(24):3757-74. PubMed ID: 12483765
[TBL] [Abstract][Full Text] [Related]
16. Imputation strategies for missing continuous outcomes in cluster randomized trials.
Taljaard M; Donner A; Klar N
Biom J; 2008 Jun; 50(3):329-45. PubMed ID: 18537126
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. An integrated population-averaged approach to the design, analysis and sample size determination of cluster-unit trials.
Preisser JS; Young ML; Zaccaro DJ; Wolfson M
Stat Med; 2003 Apr; 22(8):1235-54. PubMed ID: 12687653
[TBL] [Abstract][Full Text] [Related]
19. Comparison of the risk difference, risk ratio and odds ratio scales for quantifying the unadjusted intervention effect in cluster randomized trials.
Ukoumunne OC; Forbes AB; Carlin JB; Gulliford MC
Stat Med; 2008 Nov; 27(25):5143-55. PubMed ID: 18613226
[TBL] [Abstract][Full Text] [Related]
20. Comparison of statistical methods for analysis of clustered binary observations.
Heo M; Leon AC
Stat Med; 2005 Mar; 24(6):911-23. PubMed ID: 15558576
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]