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Links from PubMed

Items: 8

1.

On estimating the relationship between longitudinal measurements and time-to-event data using a simple two-stage procedure.

Albert PS, Shih JH.

Biometrics. 2010 Sep;66(3):983-7; discussion 987-91. doi: 10.1111/j.1541-0420.2009.01324_1.x.

PMID:
20849547
2.

Regression calibration method for correcting measurement-error bias in nutritional epidemiology.

Spiegelman D, McDermott A, Rosner B.

Am J Clin Nutr. 1997 Apr;65(4 Suppl):1179S-1186S. Review.

PMID:
9094918
3.

A review of multivariate longitudinal data analysis.

Bandyopadhyay S, Ganguli B, Chatterjee A.

Stat Methods Med Res. 2011 Aug;20(4):299-330. doi: 10.1177/0962280209340191. Review.

PMID:
20212072
4.

A comparison of methods for estimating the random effects distribution of a linear mixed model.

Ghidey W, Lesaffre E, Verbeke G.

Stat Methods Med Res. 2010 Dec;19(6):575-600. doi: 10.1177/0962280208091686. Review.

PMID:
18562397
5.

An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia.

Voelkle MC, Oud JH, Davidov E, Schmidt P.

Psychol Methods. 2012 Jun;17(2):176-92. doi: 10.1037/a0027543. Review. Erratum in: Psychol Methods. 2012 Sep;17(3):384.

PMID:
22486576
6.

Modeling longitudinal data, II: standard regression models and extensions.

Ravani P, Barrett B, Parfrey P.

Methods Mol Biol. 2009;473:61-94. doi: 10.1007/978-1-59745-385-1_4. Review.

PMID:
19160732
7.

Multilevel modeling and model averaging.

Greenland S.

Scand J Work Environ Health. 1999;25 Suppl 4:43-8. Review.

8.

An example of using mixed models and PROC MIXED for longitudinal data.

Wolfinger RD.

J Biopharm Stat. 1997 Nov;7(4):481-500. Review.

PMID:
9358325
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