221 related articles for article (PubMed ID: 35288959)
1. Finite-sample adjustments in variance estimators for clustered competing risks regression.
Chen X; Li F
Stat Med; 2022 Jun; 41(14):2645-2664. PubMed ID: 35288959
[TBL] [Abstract][Full Text] [Related]
2. Clustered restricted mean survival time regression.
Chen X; Harhay MO; Li F
Biom J; 2023 Aug; 65(6):e2200002. PubMed ID: 35593026
[TBL] [Abstract][Full Text] [Related]
3. Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials.
Wang X; Turner EL; Li F
Biom J; 2023 Mar; 65(3):e2200113. PubMed ID: 36567265
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research.
Austin PC
Stat Med; 2024 Jun; ():. PubMed ID: 38822699
[TBL] [Abstract][Full Text] [Related]
7. Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study.
Thompson JA; Hemming K; Forbes A; Fielding K; Hayes R
Stat Methods Med Res; 2021 Feb; 30(2):425-439. PubMed ID: 32970526
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A comparison of two bias-corrected covariance estimators for generalized estimating equations.
Lu B; Preisser JS; Qaqish BF; Suchindran C; Bangdiwala SI; Wolfson M
Biometrics; 2007 Sep; 63(3):935-41. PubMed ID: 17825023
[TBL] [Abstract][Full Text] [Related]
10. Small-sample adjustments for Wald-type tests using sandwich estimators.
Fay MP; Graubard BI
Biometrics; 2001 Dec; 57(4):1198-206. PubMed ID: 11764261
[TBL] [Abstract][Full Text] [Related]
11. Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples.
Wang M; Kong L; Li Z; Zhang L
Stat Med; 2016 May; 35(10):1706-21. PubMed ID: 26585756
[TBL] [Abstract][Full Text] [Related]
12. Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes.
Li P; Redden DT
Stat Med; 2015 Jan; 34(2):281-96. PubMed ID: 25345738
[TBL] [Abstract][Full Text] [Related]
13. Comparison of bias-corrected covariance estimators for MMRM analysis in longitudinal data with dropouts.
Gosho M; Hirakawa A; Noma H; Maruo K; Sato Y
Stat Methods Med Res; 2017 Oct; 26(5):2389-2406. PubMed ID: 26265765
[TBL] [Abstract][Full Text] [Related]
14. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks.
Li F; Lu W; Wang Y; Pan Z; Greene EJ; Meng G; Meng C; Blaha O; Zhao Y; Peduzzi P; Esserman D
Stat Methods Med Res; 2022 Jul; 31(7):1224-1241. PubMed ID: 35290139
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.
Scott JM; deCamp A; Juraska M; Fay MP; Gilbert PB
Stat Methods Med Res; 2017 Apr; 26(2):583-597. PubMed ID: 25267551
[TBL] [Abstract][Full Text] [Related]
17. A comparison of bias-corrected covariance estimators for generalized estimating equations.
Fan C; Zhang D; Zhang CH
J Biopharm Stat; 2013; 23(5):1172-87. PubMed ID: 23957522
[TBL] [Abstract][Full Text] [Related]
18. Modification of the Sandwich Estimator in Generalized Estimating Equations with Correlated Binary Outcomes in Rare Event and Small Sample Settings.
Rogers P; Stoner J
Am J Appl Math Stat; 2015; 3(6):243-251. PubMed ID: 26998504
[TBL] [Abstract][Full Text] [Related]
19. xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials.
Gallis JA; Li F; Turner EL
Stata J; 2020 Jun; 20(2):363-381. PubMed ID: 35330784
[TBL] [Abstract][Full Text] [Related]
20. Variance estimation in inverse probability weighted Cox models.
Shu D; Young JG; Toh S; Wang R
Biometrics; 2021 Sep; 77(3):1101-1117. PubMed ID: 32662087
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
