Proust-Lima C - Search Results

1

Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests: overcoming imperfect reference standards?

Asselineau J, Paye A, Bessède E, Perez P, Proust-Lima C. Asselineau J, et al. Epidemiol Infect. 2018 Sep;146(12):1556-1564. doi: 10.1017/S0950268818001723. Epub 2018 Jun 27. Epidemiol Infect. 2018. PMID: 29945689 Free PMC article.

2

A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome.

Proust-Lima C, Letenneur L, Jacqmin-Gadda H. Proust-Lima C, et al. Stat Med. 2007 May 10;26(10):2229-45. doi: 10.1002/sim.2659. Stat Med. 2007. PMID: 16900568

3

Sensitivity of four psychometric tests to measure cognitive changes in brain aging-population-based studies.

Proust-Lima C, Amieva H, Dartigues JF, Jacqmin-Gadda H. Proust-Lima C, et al. Am J Epidemiol. 2007 Feb 1;165(3):344-50. doi: 10.1093/aje/kwk017. Epub 2006 Nov 14. Am J Epidemiol. 2007. PMID: 17105962 Free PMC article.

4

Flavonoid intake and cognitive decline over a 10-year period.

Letenneur L, Proust-Lima C, Le Gouge A, Dartigues JF, Barberger-Gateau P. Letenneur L, et al. Am J Epidemiol. 2007 Jun 15;165(12):1364-71. doi: 10.1093/aje/kwm036. Epub 2007 Mar 16. Am J Epidemiol. 2007. PMID: 17369607

5

Score test for conditional independence between longitudinal outcome and time to event given the classes in the joint latent class model.

Jacqmin-Gadda H, Proust-Lima C, Taylor JM, Commenges D. Jacqmin-Gadda H, et al. Biometrics. 2010 Mar;66(1):11-9. doi: 10.1111/j.1541-0420.2009.01234.x. Epub 2009 May 7. Biometrics. 2010. PMID: 19432771 Free article.

6

Misuse of the linear mixed model when evaluating risk factors of cognitive decline.

Proust-Lima C, Dartigues JF, Jacqmin-Gadda H. Proust-Lima C, et al. Am J Epidemiol. 2011 Nov 1;174(9):1077-88. doi: 10.1093/aje/kwr243. Epub 2011 Sep 30. Am J Epidemiol. 2011. PMID: 21965187 Free PMC article.

7

Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts.

Dantan E, Proust-Lima C, Letenneur L, Jacqmin-Gadda H. Dantan E, et al. Int J Biostat. 2008;4(1):Article 14. doi: 10.2202/1557-4679.1088. Int J Biostat. 2008. PMID: 22462120 Free article.

8

Joint latent class models for longitudinal and time-to-event data: a review.

Proust-Lima C, Séne M, Taylor JM, Jacqmin-Gadda H. Proust-Lima C, et al. Stat Methods Med Res. 2014 Feb;23(1):74-90. doi: 10.1177/0962280212445839. Epub 2012 Apr 19. Stat Methods Med Res. 2014. PMID: 22517270 Free PMC article. Review.

9

Analysis of multivariate mixed longitudinal data: a flexible latent process approach.

Proust-Lima C, Amieva H, Jacqmin-Gadda H. Proust-Lima C, et al. Br J Math Stat Psychol. 2013 Nov;66(3):470-87. doi: 10.1111/bmsp.12000. Epub 2012 Oct 22. Br J Math Stat Psychol. 2013. PMID: 23082854

10

Normalized Mini-Mental State Examination for assessing cognitive change in population-based brain aging studies.

Philipps V, Amieva H, Andrieu S, Dufouil C, Berr C, Dartigues JF, Jacqmin-Gadda H, Proust-Lima C. Philipps V, et al. Neuroepidemiology. 2014;43(1):15-25. doi: 10.1159/000365637. Epub 2014 Sep 18. Neuroepidemiology. 2014. PMID: 25248074 Free article.

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