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Items: 1 to 20 of 181

1.
2.

An introduction to latent growth curve modelling for longitudinal continuous data in dental research.

Tu YK, D'Aiuto F, Baelum V, Gilthorpe MS.

Eur J Oral Sci. 2009 Aug;117(4):343-50. doi: 10.1111/j.1600-0722.2009.00638.x.

PMID:
19627343
3.
4.

MIXOR: a computer program for mixed-effects ordinal regression analysis.

Hedeker D, Gibbons RD.

Comput Methods Programs Biomed. 1996 Mar;49(2):157-76.

PMID:
8735023
6.

Effect of omitted confounders on the analysis of correlated binary data.

Chao WH, Palta M, Young T.

Biometrics. 1997 Jun;53(2):678-89.

PMID:
9192456
7.

Latent-variable models for longitudinal data with bivariate ordinal outcomes.

Todem D, Kim K, Lesaffre E.

Stat Med. 2007 Feb 28;26(5):1034-54.

PMID:
16832841
8.

Statistical methods for analysing longitudinal data in delirium studies.

Adamis D.

Int Rev Psychiatry. 2009 Feb;21(1):74-85. doi: 10.1080/09540260802675346. Review.

PMID:
19219714
9.

Bayesian methods for latent trait modelling of longitudinal data.

Dunson DB.

Stat Methods Med Res. 2007 Oct;16(5):399-415. Epub 2007 Jul 26. Review.

PMID:
17656454
10.

Analysis of longitudinal multinomial outcome data.

Li YP, Chan W.

Biom J. 2006 Apr;48(2):319-26.

PMID:
16708781
11.

Sensitivity analysis of longitudinal binary quality of life data with drop-out: an example using the EORTC QLQ-C30.

Van Steen K, Curran D, Molenberghs G.

Stat Med. 2001 Dec 30;20(24):3901-20.

PMID:
11782042
12.
13.

Impact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study.

Touloumi G, Babiker AG, Pocock SJ, Darbyshire JH.

Stat Med. 2001 Dec 30;20(24):3715-28.

PMID:
11782028
14.

Robustness of the latent variable model for correlated binary data.

Tan M, Qu Y, Rao JS.

Biometrics. 1999 Mar;55(1):258-63.

PMID:
11318164
15.
16.

An overview of methods for the analysis of longitudinal data.

Zeger SL, Liang KY.

Stat Med. 1992 Oct-Nov;11(14-15):1825-39.

PMID:
1480876
17.

Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes.

Hu FB, Goldberg J, Hedeker D, Flay BR, Pentz MA.

Am J Epidemiol. 1998 Apr 1;147(7):694-703.

PMID:
9554609
18.
20.

Power analyses for longitudinal study designs with missing data.

Tu XM, Zhang J, Kowalski J, Shults J, Feng C, Sun W, Tang W.

Stat Med. 2007 Jul 10;26(15):2958-81.

PMID:
17154250

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