178 related articles for article (PubMed ID: 26603500)
1. Multivariate test power approximations for balanced linear mixed models in studies with missing data.
Ringham BM; Kreidler SM; Muller KE; Glueck DH
Stat Med; 2016 Jul; 35(17):2921-37. PubMed ID: 26603500
[TBL] [Abstract][Full Text] [Related]
2. Tests for gaussian repeated measures with missing data in small samples.
Catellier DJ; Muller KE
Stat Med; 2000 Apr; 19(8):1101-14. PubMed ID: 10790683
[TBL] [Abstract][Full Text] [Related]
3. Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed Models.
Chi YY; Glueck DH; Muller KE
Am Stat; 2019; 73(4):350-359. PubMed ID: 32042203
[TBL] [Abstract][Full Text] [Related]
4. Power for balanced linear mixed models with complex missing data processes.
Josey KP; Ringham BM; Barón AE; Schenkman M; Sauder KA; Muller KE; Dabelea D; Glueck DH
Commun Stat Theory Methods; 2023; 52(1):46-64. PubMed ID: 36743328
[TBL] [Abstract][Full Text] [Related]
5. A power approximation for the Kenward and Roger Wald test in the linear mixed model.
Kreidler SM; Ringham BM; Muller KE; Glueck DH
PLoS One; 2021; 16(7):e0254811. PubMed ID: 34288958
[TBL] [Abstract][Full Text] [Related]
6. Statistical tests with accurate size and power for balanced linear mixed models.
Muller KE; Edwards LJ; Simpson SL; Taylor DJ
Stat Med; 2007 Aug; 26(19):3639-60. PubMed ID: 17394132
[TBL] [Abstract][Full Text] [Related]
7. A multivariate two-sample mean test for small sample size and missing data.
Wu Y; Genton MG; Stefanski LA
Biometrics; 2006 Sep; 62(3):877-85. PubMed ID: 16984331
[TBL] [Abstract][Full Text] [Related]
8. Sample size estimation for heterogeneous growth curve models with attrition.
Vallejo G; Ato M; Fernández MP; Livacic-Rojas PE
Behav Res Methods; 2019 Jun; 51(3):1216-1243. PubMed ID: 29934696
[TBL] [Abstract][Full Text] [Related]
9. Sample size determination for assessing equivalence based on proportion ratio under a randomized trial with non-compliance and missing outcomes.
Lui KJ; Chang KC
Stat Med; 2008 Jan; 27(1):47-67. PubMed ID: 17708514
[TBL] [Abstract][Full Text] [Related]
10. Adjusting power for a baseline covariate in linear models.
Glueck DH; Muller KE
Stat Med; 2003 Aug; 22(16):2535-51. PubMed ID: 12898543
[TBL] [Abstract][Full Text] [Related]
11. Power and sample size calculations for evaluating mediation effects in longitudinal studies.
Wang C; Xue X
Stat Methods Med Res; 2016 Apr; 25(2):686-705. PubMed ID: 23221975
[TBL] [Abstract][Full Text] [Related]
12. Meta-analysis with missing study-level sample variance data.
Chowdhry AK; Dworkin RH; McDermott MP
Stat Med; 2016 Jul; 35(17):3021-32. PubMed ID: 26888093
[TBL] [Abstract][Full Text] [Related]
13. Calculating Power for the General Linear Multivariate Model With One or More Gaussian Covariates.
Kreidler SM; Ringham BM; Muller KE; Glueck DH
Commun Stat Theory Methods; 2019; 48(6):1435-1448. PubMed ID: 31467462
[TBL] [Abstract][Full Text] [Related]
14. Sample size and power calculations for medical studies by simulation when closed form expressions are not available.
Landau S; Stahl D
Stat Methods Med Res; 2013 Jun; 22(3):324-45. PubMed ID: 22491174
[TBL] [Abstract][Full Text] [Related]
15. Accelerating Monte Carlo power studies through parametric power estimation.
Ueckert S; Karlsson MO; Hooker AC
J Pharmacokinet Pharmacodyn; 2016 Apr; 43(2):223-34. PubMed ID: 26934878
[TBL] [Abstract][Full Text] [Related]
16. Power calculation of adjusted McNemar's test based on clustered data of varying cluster size.
Wu Y
Biom J; 2018 Nov; 60(6):1190-1200. PubMed ID: 30288765
[TBL] [Abstract][Full Text] [Related]
17. Power and Sample Size Calculations for Contrast Analysis in ANCOVA.
Shieh G
Multivariate Behav Res; 2017; 52(1):1-11. PubMed ID: 28121163
[TBL] [Abstract][Full Text] [Related]
18. Single time point comparisons in longitudinal randomized controlled trials: power and bias in the presence of missing data.
Ashbeck EL; Bell ML
BMC Med Res Methodol; 2016 Apr; 16():43. PubMed ID: 27068578
[TBL] [Abstract][Full Text] [Related]
19. Multidimensional latent trait linear mixed model: an application in clinical studies with multivariate longitudinal outcomes.
Wang J; Luo S
Stat Med; 2017 Sep; 36(20):3244-3256. PubMed ID: 28569393
[TBL] [Abstract][Full Text] [Related]
20. Maximum likelihood versus multiple imputation for missing data in small longitudinal samples with nonnormality.
Shin T; Davison ML; Long JD
Psychol Methods; 2017 Sep; 22(3):426-449. PubMed ID: 27709974
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
