139 related articles for article (PubMed ID: 32073645)
1. Marginal analysis of multiple outcomes with informative cluster size.
Mitani AA; Kaye EK; Nelson KP
Biometrics; 2021 Mar; 77(1):271-282. PubMed ID: 32073645
[TBL] [Abstract][Full Text] [Related]
2. Marginal analysis of ordinal clustered longitudinal data with informative cluster size.
Mitani AA; Kaye EK; Nelson KP
Biometrics; 2019 Sep; 75(3):938-949. PubMed ID: 30859544
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Cluster adjusted regression for displaced subject data (CARDS): Marginal inference under potentially informative temporal cluster size profiles.
Bible J; Beck JD; Datta S
Biometrics; 2016 Jun; 72(2):441-51. PubMed ID: 26682911
[TBL] [Abstract][Full Text] [Related]
5. GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials.
Zhang Y; Preisser JS; Li F; Turner EL; Toles M; Rathouz PJ
Comput Methods Programs Biomed; 2023 Mar; 230():107362. PubMed ID: 36709555
[TBL] [Abstract][Full Text] [Related]
6. Informative cluster sizes for subcluster-level covariates and weighted generalized estimating equations.
Huang Y; Leroux B
Biometrics; 2011 Sep; 67(3):843-51. PubMed ID: 21281273
[TBL] [Abstract][Full Text] [Related]
7. Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models.
Lam KF; Lee CY; Wong KY; Bandyopadhyay D
Stat Med; 2021 May; 40(10):2400-2412. PubMed ID: 33586218
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes.
Westgate PM
Clin Trials; 2019 Feb; 16(1):41-51. PubMed ID: 30295512
[TBL] [Abstract][Full Text] [Related]
10. ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals.
Meng C; Ryan M; Rathouz PJ; Turner EL; Preisser JS; Li F
Comput Methods Programs Biomed; 2023 Jul; 237():107567. PubMed ID: 37207384
[TBL] [Abstract][Full Text] [Related]
11. Risk prediction in multicentre studies when there is confounding by cluster or informative cluster size.
Pavlou M; Ambler G; Omar RZ
BMC Med Res Methodol; 2021 Jul; 21(1):135. PubMed ID: 34218793
[TBL] [Abstract][Full Text] [Related]
12. Marginal analyses of clustered data when cluster size is informative.
Williamson JM; Datta S; Satten GA
Biometrics; 2003 Mar; 59(1):36-42. PubMed ID: 12762439
[TBL] [Abstract][Full Text] [Related]
13. Pseudo-value regression of clustered multistate current status data with informative cluster sizes.
Anyaso-Samuel S; Bandyopadhyay D; Datta S
Stat Methods Med Res; 2023 Aug; 32(8):1494-1510. PubMed ID: 37323013
[TBL] [Abstract][Full Text] [Related]
14. Rank-based inference for covariate and group effects in clustered data in presence of informative intra-cluster group size.
Dutta S; Datta S
Stat Med; 2018 Dec; 37(30):4807-4822. PubMed ID: 30232808
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Regression analysis of clustered failure time data with informative cluster size under the additive transformation models.
Chen L; Feng Y; Sun J
Lifetime Data Anal; 2017 Oct; 23(4):651-670. PubMed ID: 27761797
[TBL] [Abstract][Full Text] [Related]
17. Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingness.
Turner EL; Yao L; Li F; Prague M
Stat Methods Med Res; 2020 May; 29(5):1338-1353. PubMed ID: 31293199
[TBL] [Abstract][Full Text] [Related]
18. Modeling survival data with informative cluster size.
Williamson JM; Kim HY; Manatunga A; Addiss DG
Stat Med; 2008 Feb; 27(4):543-55. PubMed ID: 17640035
[TBL] [Abstract][Full Text] [Related]
19. A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes.
Lee CY; Wong KY; Lam KF; Bandyopadhyay D
Biometrics; 2023 Sep; 79(3):2010-2022. PubMed ID: 36377514
[TBL] [Abstract][Full Text] [Related]
20. Adjusting for informative cluster size in pseudo-value-based regression approaches with clustered time to event data.
Anyaso-Samuel S; Datta S
Stat Med; 2023 Jun; 42(13):2162-2178. PubMed ID: 36973919
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]