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Items: 1 to 20 of 94

1.

Detecting the violation of variance homogeneity in mixed models.

Fang X, Li J, Wong WK, Fu B.

Stat Methods Med Res. 2014 Mar 21. [Epub ahead of print]

PMID:
24659492
2.

Modelling the random effects covariance matrix in longitudinal data.

Daniels MJ, Zhao YD.

Stat Med. 2003 May 30;22(10):1631-47.

3.

Mixed models for data from thorough QT studies: part 2. One-step assessment of conditional QT prolongation.

Schall R.

Pharm Stat. 2011 Jul-Aug;10(4):293-301. doi: 10.1002/pst.465. Epub 2010 Nov 8.

PMID:
21061415
4.

MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS.

Ahn M, Zhang HH, Lu W.

Stat Sin. 2012 Oct 1;22(4):1539-1562.

5.
6.

Linkage analysis of longitudinal data.

Suh YJ, Park T, Cheong SY.

BMC Genet. 2003 Dec 31;4 Suppl 1:S27.

7.

Hierarchical Bayesian modeling of random and residual variance-covariance matrices in bivariate mixed effects models.

Bello NM, Steibel JP, Tempelman RJ.

Biom J. 2010 Jun;52(3):297-313. doi: 10.1002/bimj.200900182.

PMID:
20544726
8.

Subgroup analyses in randomised controlled trials: quantifying the risks of false-positives and false-negatives.

Brookes ST, Whitley E, Peters TJ, Mulheran PA, Egger M, Davey Smith G.

Health Technol Assess. 2001;5(33):1-56. Review.

9.

Simulation of longitudinal exposure data with variance-covariance structures based on mixed models.

Song P, Xue J, Li Z.

Risk Anal. 2013 Mar;33(3):469-79. doi: 10.1111/j.1539-6924.2012.01869.x. Epub 2012 Jul 22.

10.
11.

Variable error: variance-covariance heterogeneity, block size and type L error rates.

Gessaroli ME, Schutz RW.

J Mot Behav. 1983 Mar;15(1):74-95.

PMID:
15151885
12.

Effects of large-scale nonstationarity on parametric maps. A study of rest perfusion CASL data.

Viviani R.

Neuroimage. 2011 Feb 1;54(3):2066-78. doi: 10.1016/j.neuroimage.2010.10.041. Epub 2010 Oct 23.

PMID:
20974261
13.
14.

Analysis of left-censored longitudinal data with application to viral load in HIV infection.

Jacqmin-Gadda H, Thiébaut R, Chêne G, Commenges D.

Biostatistics. 2000 Dec;1(4):355-68.

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17.

[Modeling correlated data in epidemiology: mixed or marginal model?].

Chavance M.

Rev Epidemiol Sante Publique. 1999 Dec;47(6):535-44. French.

PMID:
10673587
18.

Bayesian covariance selection in generalized linear mixed models.

Cai B, Dunson DB.

Biometrics. 2006 Jun;62(2):446-57.

PMID:
16918908
19.

The detection of residual serial correlation in linear mixed models.

Verbeke G, Lesaffre E, Brant LJ.

Stat Med. 1998 Jun 30;17(12):1391-402.

PMID:
9682327
20.

An autoregressive linear mixed effects model for the analysis of longitudinal data which include dropouts and show profiles approaching asymptotes.

Funatogawa T, Funatogawa I, Takeuchi M.

Stat Med. 2008 Dec 30;27(30):6351-66. doi: 10.1002/sim.3417.

PMID:
18767204
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