Cécile Proust-Lima

Senior researcher in Biostatistics

Education

2014 HDR (Habilitation to conduct research), Univ. Bordeaux, France.
2006 PhD in Biostatistics, Univ. Bordeaux Segalen, France.
2003 Master degree in Epidemiology and Public Health, ISPED, Univ. Bordeaux Segalen, France.
2002 Master degree in Biostatistics, National School for Statistics and Information Analysis, ENSAI, Rennes, France.

Positions

2019-… Director of Research (DR2), Inserm, Bordeaux, France.
2008-2019 Researcher (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.

Teaching

Joint models, Latent class mixed models, Latent variable models, (Generalized) linear mixed models, Longitudinal analysis of psychometric scales in Masters, summer schools, short courses

Research interests

Development of dynamic statistical models to describe, explain and predict chronic disease progressions. I specialized in the joint analysis of correlated longitudinal markers and event time history using the so called joint models with applications mainly in neurodegenerative diseases (e.g., Alzheimer’s disease) and cancers. My works often involve latent processes to translate dynamic health phenomena measured by repeated markers, and latent classes to translate the heterogeneity of disease progression. I have also worked on the development of individual dynamic predictions that quantify the risk of experiencing a clinical event based on the dynamic history of an individual. All my works are motivated by epidemiological and clinical questions thanks to strong collaborations with epidemiologists and clinicians, and access to large cohort studies. My developments are made available in R packages with constant maintainance and upgrades.

I serve as Associate Editor for Biometrics (since 2014) and Biostatistics (since 2016).

I belong to the international initiative in Methods in Longitudinal Research in Dementia (MELODEM).

Software

See my github repository and
marqLevAlg: A Parallelized Algorithm for Least-Squares Curve Fitting. R package version 2.0.1.
CInNPL: Causal Inference in a Network of Latent Processes
multLPM: Joint model for multivariate latent processes and competing events
lcmm: Extended Mixed Models Using Latent Classes and Latent Processes. R package version 1.7.8.
NormPsy: Normalisation of Psychometric Tests. R package version 1.0.3.
HETMIXSURV, Fortran 90 program for multivariate heterogeneous longitudinal data analysis.

Publications

2019

Amieva, H., Meillon, C., Proust-Lima, C., & Dartigues, J. F. (2019). Is Low Psychomotor Speed a Marker of Brain Vulnerability in Late Life? Digit Symbol Substitution Test in the Prediction of Alzheimer, Parkinson, Stroke, Disability, and Depression. Dementia and Geriatric Cognitive Disorders, 47(4‑6), 297‑305. https://doi.org/10.1159/000500597

Ferrer, L., Putter, H., & Proust-Lima, C. (2019). Individual dynamic predictions using landmarking and joint modelling : Validation of estimators and robustness assessment. Statistical Methods in Medical Research, 28(12), 3649‑3666. https://doi.org/10.1177/0962280218811837

Lefèvre-Arbogast, S., Wagner, M., Proust-Lima, C., & Samieri, C. (2019). Nutrition and Metabolic Profiles in the Natural History of Dementia : Recent Insights from Systems Biology and Life Course Epidemiology. Current Nutrition Reports, 8(3), 256‑269. https://doi.org/10.1007/s13668-019-00285-1

Low, D. Y., Lefèvre-Arbogast, S., González-Domínguez, R., Urpi-Sarda, M., Micheau, P., Petera, M., Centeno, D., Durand, S., Pujos-Guillot, E., Korosi, A., Lucassen, P. J., Aigner, L., Proust-Lima, C., Hejblum, B. P., Helmer, C., Andres-Lacueva, C., Thuret, S., Samieri, C., & Manach, C. (2019). Diet-Related Metabolites Associated with Cognitive Decline Revealed by Untargeted Metabolomics in a Prospective Cohort. Molecular Nutrition & Food Research, 63(18), e1900177. https://doi.org/10.1002/mnfr.201900177

Proust-Lima, C., Philipps, V., & Dartigues, J.-F. (2019). A joint model for multiple dynamic processes and clinical endpoints : Application to Alzheimer’s disease. Statistics in Medicine, 38(23), 4702‑4717. https://doi.org/10.1002/sim.8328

Taddé, B. O., Jacqmin-Gadda, H., Dartigues, J.-F., Commenges, D., & Proust-Lima, C. (2019). Dynamic modelling of Multivariate Dimensions and Their Temporal Relationships using Latent Processes : Application to Alzheimer’s Disease. Biometrics. https://doi.org/10.1111/biom.13168

Wagner, M., Grodstein, F., Proust-Lima, C., & Samieri, C. (2019). Long-Term Trajectories of Body Weight, Diet, and Physical Activity From Midlife Through Late-Life and Subsequent Cognitive Decline in Women. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwz262

2018

Asselineau, J., Paye, A., Bessède, E., Perez, P., & Proust-Lima, C. (2018). Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests : Overcoming imperfect reference standards? Epidemiology and Infection, 146(12), 1556‑1564. https://doi.org/10.1017/S0950268818001723

Bellera, C., Proust-Lima, C., Joseph, L., Richaud, P., Taylor, J., Sandler, H., Hanley, J., & Mathoulin-Pélissier, S. (2018). A two-stage model in a Bayesian framework to estimate a survival endpoint in the presence of confounding by indication. Statistical Methods in Medical Research, 27(4), 1271‑1281. https://doi.org/10.1177/0962280216660127

Grasset, L., Jacqmin-Gadda, H., Proust-Lima, C., Pérès, K., Amieva, H., Dartigues, J.-F., & Helmer, C. (2018). Temporal Trends in the Level and Decline of Cognition and Disability in an Elderly Population : The PAQUID Study. American Journal of Epidemiology, 187(10), 2168‑2176. https://doi.org/10.1093/aje/kwy118

Samieri, C., Perier, M.-C., Gaye, B., Proust-Lima, C., Helmer, C., Dartigues, J.-F., Berr, C., Tzourio, C., & Empana, J.-P. (2018). Association of Cardiovascular Health Level in Older Age With Cognitive Decline and Incident Dementia. JAMA, 320(7), 657‑664. https://doi.org/10.1001/jama.2018.11499

Wagner, M., Dartigues, J.-F., Samieri, C., & Proust-Lima, C. (2018). Modeling Risk-Factor Trajectories When Measurement Tools Change Sequentially During Follow-up in Cohort Studies : Application to Dietary Habits in Prodromal Dementia. American Journal of Epidemiology, 187(4), 845‑854. https://doi.org/10.1093/aje/kwx293

Wagner, M., Helmer, C., Tzourio, C., Berr, C., Proust-Lima, C., & Samieri, C. (2018). Evaluation of the Concurrent Trajectories of Cardiometabolic Risk Factors in the 14 Years Before Dementia. JAMA Psychiatry, 75(10), 1033‑1042. https://doi.org/10.1001/jamapsychiatry.2018.2004

2017

Boucquemont, J., Lawson-Ayayi, S., Rigothier, C., Bonnet, F., Proust-Lima, C., Neau, D., Greib, C., Miremont-Salamé, G., Dabis, F., Dupon, M., Dauchy, F.-A., & for ANRS C03 Aquitaine Cohort Study Group. (2017). Absence of Decline of Kidney Function in Human Immunodeficiency Virus-Infected Patients Under Routine Clinical Management. Nephron, 136(3), 211‑220. https://doi.org/10.1159/000467400

Carrière, I., Farré, A., Proust-Lima, C., Ryan, J., Ancelin, M. L., & Ritchie, K. (2017). Chronic and remitting trajectories of depressive symptoms in the elderly. Characterisation and risk factors. Epidemiology and Psychiatric Sciences, 26(2), 146‑156. https://doi.org/10.1017/S2045796015001122

Picat, M.-Q., Pellegrin, I., Bitard, J., Wittkop, L., Proust-Lima, C., Liquet, B., Moreau, J.-F., Bonnet, F., Blanco, P., Thiébaut, R., & ANRS CO3 Aquitaine Cohort. (2017). Integrative Analysis of Immunological Data to Explore Chronic Immune T-Cell Activation in Successfully Treated HIV Patients. PloS One, 12(1), e0169164. https://doi.org/10.1371/journal.pone.0169164

Proust-Lima, C., Philipps, V., Dartigues, J.-F., Bennett, D. A., Glymour, M. M., Jacqmin-Gadda, H., & Samieri, C. (2017). Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies. Statistical Methods in Medical Research, 962280217739658. https://doi.org/10.1177/0962280217739658

Proust-Lima, C., Philipps, V., & Liquet, B. (2017). Estimation of Extended Mixed Models Using Latent Classes and Latent Processes : The R Package lcmm. Journal of Statistical Software, Articles, 78(2), 1–56. https://doi.org/10.18637/jss.v078.i02

Tabue-Teguo, M., Grasset, L., Avila-Funes, J. A., Genuer, R., Proust-Lima, C., Péres, K., Féart, C., Amieva, H., Harmand, M. G.-C., Helmer, C., Salles, N., Rainfray, M., & Dartigues, J. F. (2017). Prevalence and Co-Occurrence of Geriatric Syndromes in People Aged 75 Years and Older in France : Results From the Bordeaux Three-city Study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 73(1), 109‑116. https://doi.org/10.1093/gerona/glx068

Wang, W., Guedj, M., Bertrand, V., Foucquier, J., Jouve, E., Commenges, D., Proust-Lima, C., Murphy, N. P., Blin, O., Magy, L., Cohen, D., & Attarian, S. (2017). A Rasch Analysis of the Charcot-Marie-Tooth Neuropathy Score (CMTNS) in a Cohort of Charcot-Marie-Tooth Type 1A Patients. PloS One, 12(1), e0169878. https://doi.org/10.1371/journal.pone.0169878

2016
Bellera, C., Proust-Lima, C., Joseph, L., Richaud, P., Taylor, J., Sandler, H., … Mathoulin-Pélissier, S. (2016). A two-stage model in a Bayesian framework to estimate a survival endpoint in the presence of confounding by indication. Statistical Methods in Medical Research. https://doi.org/10.1177/0962280216660127
Carrière, I., Farré, A., Proust-Lima, C., Ryan, J., Ancelin, M. L., & Ritchie, K. (2016). Chronic and remitting trajectories of depressive symptoms in the elderly. Characterisation and risk factors. Epidemiology and Psychiatric Sciences, 1–11. https://doi.org/10.1017/S2045796015001122
Edjolo, A., Proust-Lima, C., Delva, F., Dartigues, J.-F., & Pérès, K. (2016). Natural History of Dependency in the Elderly: A 24-Year Population-Based Study Using a Longitudinal Item Response Theory Model. American Journal of Epidemiology, 183(4), 277–285. https://doi.org/10.1093/aje/kwv223
Ferrer, L., Rondeau, V., Dignam, J., Pickles, T., Jacqmin-Gadda, H., & Proust-Lima, C. (2016). Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer. Statistics in Medicine, 35(22), 3933–3948. https://doi.org/10.1002/sim.6972
Król, , A., Ferrer, L., Pignon, J.-P., Proust-Lima, C., Ducreux, M., Bouché, O., … Rondeau, V. (2016). Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000-05 trial. Biometrics, 72(3), 907–916. https://doi.org/10.1111/biom.12490
Rouanet, A., Joly, P., Dartigues, J.-F., Proust-Lima, C., & Jacqmin-Gadda, H. (2016). Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia. Biometrics, 72(4), 1123–1135. https://doi.org/10.1111/biom.12530
Sène, M., Taylor, J. M., Dignam, J. J., Jacqmin-Gadda, H., & Proust-Lima, C. (2016). Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation. Statistical Methods in Medical Research, 25(6), 2972–2991. https://doi.org/10.1177/0962280214535763
Vivot, A., Power, M. C., Glymour, M. M., Mayeda, E. R., Benitez, A., Spiro, A., … Gross, A. L. (2016). Jump, Hop, or Skip: Modeling Practice Effects in Studies of Determinants of Cognitive Change in Older Adults. American Journal of Epidemiology, 183(4), 302–314. https://doi.org/10.1093/aje/kwv212
Weuve*, J., Proust-Lima*, C., Power*, M. C., Gross, A. L., Hofer, S. M., Thiébaut, R., … MELODEM Initiative. (2015). Guidelines for reporting methodological challenges and evaluating potential bias in dementia research. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 11(9), 1098–1109. https://doi.org/10.1016/j.jalz.2015.06.1885

2015
Blanche, P., Proust-Lima, C., Loubère, L., Berr, C., Dartigues, J.-F., & Jacqmin-Gadda, H. (2015). Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks. Biometrics, 71(1), 102–113. https://doi.org/10.1111/biom.12232
Commenges, D., Jacqmin-Gadda, H., Alioum, A., Joly, P., Liquet, B., Proust-Lima, C., … Thiébaut, R. (2015a). Dynamical Biostatistical Models. CRC Press.
Commenges, D., Jacqmin-Gadda, H., Alioum, A., Joly, P., Liquet, B., Proust-Lima, C., … Thiébaut, R. (2015b). Modèles biostatistiques pour l’épidémiologie. Louvain-la-Neuve: DE BOECK UNIVERSITE.
Commenges, D., Proust-Lima, C., Samieri, C., & Liquet, B. (2015). A universal approximate cross-validation criterion for regular risk functions. The International Journal of Biostatistics, 11(1), 51–67. https://doi.org/10.1515/ijb-2015-0004
Marioni, R. E., Proust-Lima, C., Amieva, H., Brayne, C., Matthews, F. E., Dartigues, J.-F., & Jacqmin-Gadda, H. (2015). Social activity, cognitive decline and dementia risk: a 20-year prospective cohort study. BMC Public Health, 15, 1089. https://doi.org/10.1186/s12889-015-2426-6
Proust-Lima, C., & Blanche, P. (2015). Dynamic Predictions. In Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Ltd.

2014

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., & Blanche, P. (2014). Dynamic Predictions. In Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118445112.stat07876

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

Liens

http://cvscience.aviesan.fr/cv/2055/cecile-proust-lima