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Research Associate in Biostatistics

Education

2014 Habilitation à diriger des Recherches, Université Bordeaux, France.
2006 PhD in Biostatistics, Université Bordeaux Segalen, France.
2003 Master in Epidemiology and Public Health, ISPED, Université Bordeaux Segalen, France.
2002 Master degree in Biostatistics, National School for Statistics and Information Analysis, ENSAI, Rennes, France.

 

Positions

2008-… Research Associate (CR1), Inserm, Bordeaux, France.
2008 Research Assistant, Biostatistics and Nutrition departments, Inserm, Bordeaux, France.
2008 Assistant Professor, ISPED, Université Bordeaux Segalen, Bordeaux, France.
2007 Postdoctoral fellow, Department of Biostatistics, School of Public Health, University of Michigan,
Ann Arbor, USA.
2003-2006 Assistant professor, ISPED, Université Bordeaux Segalen, Bordeaux, France.

 

Software

lcmm: Extended Mixed Models Using Latent Classes and Latent Processes. R  package version 1.7.2. http://CRAN.R-project.org/package=lcmm
NormPsy: Normalisation of  Psychometric Tests. R package version 1.0.3. http://CRAN.R-project.org/package=NormPsy
HETMIXSURV, Fortran 90 program for multivariate heterogeneous longitudinal data analysis. HETMIXSURV

Publications

2015
Commenges, D., Proust-Lima, C., Samieri, C., & Liquet, B. (2015). A universal approximate cross-validation criterion for regular risk functions. International journal of biostatistics, accepted.
Proust-Lima, C., Philipps, V., & Liquet, B. (2015). Estimation of extended mixed models using latent classes and latent processes: the R package lcmm. arXiv:1503.00890 [stat]. http://arxiv.org/abs/1503.00890
Proust-Lima, C., Dartigues, J.-F., & Jacqmin-Gadda, H. (2015). Joint modelling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach. http://arxiv-web3.library.cornell.edu/abs/1409.7598
 
2014
Blanche, P., Proust-Lima, C., Loubère, L., Berr, C., Dartigues, J.-F., & Jacqmin-Gadda, H. (2014). Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks. Biometrics. http://doi.org/10.1111/biom.12232
Marioni, R. E., Proust-Lima, C., Amieva, H., Brayne, C., Matthews, F. E., Dartigues, J.-F., & Jacqmin-Gadda, H. (2014). Cognitive lifestyle jointly predicts longitudinal cognitive decline and mortality risk. European Journal of Epidemiology, 29(3), 211‑219. http://doi.org/10.1007/s10654-014-9881-8
Mura, T., Proust-Lima, C., Jacqmin-Gadda, H., Akbaraly, T. N., Touchon, J., Dubois, B., & Berr, C. (2014). Measuring cognitive change in subjects with prodromal Alzheimer’s disease. Journal of Neurology, Neurosurgery, and Psychiatry, 85(4), 363‑370. http://doi.org/10.1136/jnnp-2013-305078
Philipps, V., Amieva, H., Andrieu, S., Dufouil, C., Berr, C., Dartigues, J.-F., … Proust-Lima, C. (2014). Normalized Mini-Mental State Examination for assessing cognitive change in population-based brain aging studies. Neuroepidemiology, 43(1), 15‑25. http://doi.org/10.1159/000365637
Proust-Lima, C., Séne, M., Taylor, J. M., & Jacqmin-Gadda, H. (2014). Joint latent class models for longitudinal and time-to-event data: A review. Statistical Methods in Medical Research, 23(1), 74‑90. http://doi.org/10.1177/0962280212445839
Samieri, C., Proust-Lima, C., M Glymour, M., Okereke, O. I., Amariglio, R. E., Sperling, R. A., … Grodstein, F. (2014). Subjective cognitive concerns, episodic memory, and the APOE ε4 allele. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 10(6), 752‑759.e1. http://doi.org/10.1016/j.jalz.2014.06.012
Sène, M., Bellera, C. A., & Proust-Lima, C. (2014). Shared random-effect models for the joint analysis of longitudinal and time-to-event data: application to the prediction of prostate cancer recurrence. Journal de la Société Française de Statistique, 155(1), 134‑155.
Sène, M., Taylor, J. M., Dignam, J. J., Jacqmin-Gadda, H., & Proust-Lima, C. (2014). Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation. Statistical Methods in Medical Research. http://doi.org/10.1177/0962280214535763
 
2013
Mura, T., Proust-Lima, C., Akbaraly, T., Amieva, H., Tzourio, C., Chevassus, H., … Berr, C. (2013). Chronic use of benzodiazepines and latent cognitive decline in the elderly: results from the Three-city study. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology, 23(3), 212‑223. http://doi.org/10.1016/j.euroneuro.2012.05.004
Proust-Lima, C., Amieva, H., & Jacqmin-Gadda, H. (2013). Analysis of multivariate mixed longitudinal data: a flexible latent process approach. The British Journal of Mathematical and Statistical Psychology, 66(3), 470‑487. http://doi.org/10.1111/bmsp.12000
Taylor, J. M. G., Park, Y., Ankerst, D. P., Proust-Lima, C., Williams, S., Kestin, L., … Sandler, H. (2013). Real-time individual predictions of prostate cancer recurrence using joint models. Biometrics, 69(1), 206‑213. http://doi.org/10.1111/j.1541-0420.2012.01823.x
 
2012
 Commenges, D., Liquet, B., & Proust-Lima, C. (2012). Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks. Biometrics, 68(2), 380‑387. http://doi.org/10.1111/j.1541-0420.2012.01753.x
Samieri, C., Maillard, P., Crivello, F., Proust-Lima, C., Peuchant, E., Helmer, C., … Barberger-Gateau, P. (2012). Plasma long-chain omega-3 fatty acids and atrophy of the medial temporal lobe. Neurology, 79(7), 642‑650. http://doi.org/10.1212/WNL.0b013e318264e394
 
2011
Proust-Lima, C., Dartigues, J.-F., & Jacqmin-Gadda, H. (2011). Misuse of the linear mixed model when evaluating risk factors of cognitive decline. American Journal of Epidemiology, 174(9), 1077‑1088. http://doi.org/10.1093/aje/kwr243
Proust-Lima, C., Taylor, J. M. G., Sécher, S., Sandler, H., Kestin, L., Pickles, T., … Williams, S. (2011). Confirmation of a low α/β ratio for prostate cancer treated by external beam radiation therapy alone using a post-treatment repeated-measures model for PSA dynamics. International Journal of Radiation Oncology, Biology, Physics, 79(1), 195‑201. http://doi.org/10.1016/j.ijrobp.2009.10.008
Samieri, C., Féart, C., Proust-Lima, C., Peuchant, E., Dartigues, J.-F., Amieva, H., & Barberger-Gateau, P. (2011). Omega-3 fatty acids and cognitive decline: modulation by ApoEε4 allele and depression. Neurobiology of Aging, 32(12), 2317.e13‑2317.e22. http://doi.org/10.1016/j.neurobiolaging.2010.03.020
Samieri, C., Féart, C., Proust-Lima, C., Peuchant, E., Tzourio, C., Stapf, C., … Barberger-Gateau, P. (2011). Olive oil consumption, plasma oleic acid, and stroke incidence: the Three-City Study. Neurology, 77(5), 418‑425. http://doi.org/10.1212/WNL.0b013e318220abeb
 
2010
Jacqmin-Gadda, H., Proust-Lima, C., & Amiéva, H. (2010). Semi-parametric latent process model for longitudinal ordinal data: Application to cognitive decline. Statistics in Medicine, 29(26), 2723‑2731. http://doi.org/10.1002/sim.4035
Jacqmin-Gadda, H., Proust-Lima, C., Taylor, J. M. G., & Commenges, D. (2010). Score test for conditional independence between longitudinal outcome and time to event given the classes in the joint latent class model. Biometrics, 66(1), 11‑19. http://doi.org/10.1111/j.1541-0420.2009.01234.x
 
2009
Proust-Lima, C., Joly, P., Dartigues, J.-F., & Jacqmin-Gadda, H. (2009). Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach. Computational Statistics & Data Analysis, 53(4), 1142‑1154. http://doi.org/10.1016/j.csda.2008.10.017
Proust-Lima, C., & Taylor, J. M. G. (2009). Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach. Biostatistics (Oxford, England), 10(3), 535‑549. http://doi.org/10.1093/biostatistics/kxp009
 
2008
Dantan, E., Proust-Lima, C., Letenneur, L., & Jacqmin-Gadda, H. (2008). Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts. The International Journal of Biostatistics, 4(1), Article 14.
Proust-Lima, C., Amieva, H., Letenneur, L., Orgogozo, J.-M., Jacqmin-Gadda, H., & Dartigues, J.-F. (2008). Gender and education impact on brain aging: a general cognitive factor approach. Psychology and Aging, 23(3), 608‑620. http://doi.org/10.1037/a0012838
Proust-Lima, C., Taylor, J. M. G., Williams, S. G., Ankerst, D. P., Liu, N., Kestin, L. L., … Sandler, H. M. (2008). Determinants of change in prostate-specific antigen over time and its association with recurrence after external beam radiation therapy for prostate cancer in five large cohorts. International Journal of Radiation Oncology, Biology, Physics, 72(3), 782‑791. http://doi.org/10.1016/j.ijrobp.2008.01.056
 
2007
Jacqmin-Gadda, H., Sibillot, S., Proust, C., Molina, J.-M., & Thiébaut, R. (2007). Robustness of the linear mixed model to misspecified error distribution. Computational Statistics & Data Analysis, 51(10), 5142‑5154. http://doi.org/10.1016/j.csda.2006.05.021
Letenneur, L., Proust-Lima, C., Le Gouge, A., Dartigues, J. F., & Barberger-Gateau, P. (2007). Flavonoid intake and cognitive decline over a 10-year period. American Journal of Epidemiology, 165(12), 1364‑1371. http://doi.org/10.1093/aje/kwm036
Proust-Lima, C., Amieva, H., Dartigues, J.-F., & Jacqmin-Gadda, H. (2007). Sensitivity of four psychometric tests to measure cognitive changes in brain aging-population-based studies. American Journal of Epidemiology, 165(3), 344‑350. http://doi.org/10.1093/aje/kwk017
Proust-Lima, C., Letenneur, L., & Jacqmin-Gadda, H. (2007). A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome. Statistics in Medicine, 26(10), 2229‑2245. http://doi.org/10.1002/sim.2659
 
2006
Proust, C., Jacqmin-Gadda, H., Taylor, J. M. G., Ganiayre, J., & Commenges, D. (2006). A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data. Biometrics, 62(4), 1014‑1024. http://doi.org/10.1111/j.1541-0420.2006.00573.x
 
2005
Proust, C., & Jacqmin-Gadda, H. (2005). Estimation of linear mixed models with a mixture of distribution for the random effects. Computer Methods and Programs in Biomedicine, 78(2), 165‑173. http://doi.org/10.1016/j.cmpb.2004.12.004
 

 

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