Bibliography

Major publications by the team in recent years

• 1M. Avalos, N. D. Adroher, E. Lagarde, F. Thiessard, Y. Grandvalet, B. Contrand, L. Orriols.
  
  Prescription-Drug-Related Risk in Driving: Comparing Conventional and Lasso Shrinkage Logistic Regressions, in: Epidemiology, 2012, vol. 23, n^o 5, pp. 706–712.
• 2D. Furman, P. Hejblum, N. Simon, V. Jojic, L. Dekker, R. Thiébaut, J. Tibshirani, M. Davis.
  
  Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination, in: Proceedings of the National Academy of Sciences, January 2014, vol. 111, n^o 2, pp. 869-74.
  
  http://dx.doi.org/10.1073/pnas.1321060111
• 3B. Liquet, K.-A. Le Cao, H. Hocini, R. Thiébaut.
  
  A novel approach for biomarker selection and the integration of repeated measures experiments from two assays, in: BMC bioinformatics, 2012, vol. 13, n^o 1, 14 p.
  
  http://dx.doi.org/10.1186/1471-2105-13-325
• 4M. Prague, D. Commenges, J. Drylewicz, R. Thiébaut.
  
  Treatment monitoring of HIV infected patients based on mechanistic models, in: Biometrics, 2012, vol. 68, n^o 3, pp. 902–911.
• 5R. Thiébaut, J. Drylewicz, M. Prague, C. Lacabaratz, S. Beq, A. Jarne, T. Croughs, R.-P. Sekaly, M. M. Lederman, I. Sereti.
  
  Quantifying and Predicting the Effect of Exogenous Interleukin-7 on CD4+ T Cells in HIV-1 Infection, in: PLoS computational biology, 2014, vol. 10, n^o 5, e1003630.

Publications of the year

Articles in International Peer-Reviewed Journals

• 6M. Avalos, H. Pouyes, Y. Grandvalet, L. ORRIOLS, E. Lagarde.
  
  Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm, in: BMC Bioinformatics, 2015, vol. 16, n^o Suppl 6, S1 p. [ DOI : 10.1186/1471-2105-16-S6-S1 ]
  
  https://hal.inria.fr/hal-01217312
• 7H. Ayoub, B. Ainseba, M. Langlais, R. Thiébaut.
  
  Parameters identification for a model of T cell homeostasis, in: Mathematical Biosciences and Engineering, 2015, vol. 12, n^o 5, pp. 917–936. [ DOI : 10.3934/mbe.2015.12.917 ]
  
  https://hal.archives-ouvertes.fr/hal-01164668
• 8D. Commenges, A. Gégout-Petit.
  
  The stochastic system approach for estimating dynamic treatments effect, in: Lifetime Data Analysis, 2015, 18 p. [ DOI : 10.1007/s10985-015-9322-3 ]
  
  https://hal.inria.fr/hal-01205328
• 9R. Genuer, J.-M. Poggi, C. Tuleau-Malot.
  
  VSURF: An R Package for Variable Selection Using Random Forests, in: The R Journal, December 2015, vol. 7, n^o 2, pp. 19-33.
  
  https://hal.archives-ouvertes.fr/hal-01251924
• 10B. P. Hejblum, J. Skinner, R. Thiébaut.
  
  Time-Course Gene Set Analysis for Longitudinal Gene Expression Data, in: PLoS Computational Biology, 2015, vol. 11, n^o 6, e1004310. [ DOI : 10.1371/journal.pcbi.1004310 ]
  
  https://hal.inria.fr/hal-01203446
• 11P. Hellard, M. Avalos, F. Guimaraes, J. F. Toussaint, P. David.
  
  Training-Related Risk of Common Illnesses in Elite Swimmers over a Four-Year Period, in: Medicine and Science in Sports and Exercise, 2015, vol. 47, n^o 4, pp. 698-707. [ DOI : 10.1249/MSS.0000000000000461 ]
  
  https://hal.archives-ouvertes.fr/hal-01099379
• 12H. Kaminski, I. Garrigue, L. Couzi, B. Taton, T. Bachelet, J.-F. Moreau, J. Dechanet-Merville, R. Thiébaut, P. Merville.
  
  Surveillance of γδ T Cells Predicts Cytomegalovirus Infection Resolution in Kidney Transplants, in: Journal of the American Society of Nephrology : JASN, 2015, n^o 8, 00 p. [ DOI : 10.1681/ASN.2014100985 ]
  
  https://hal.archives-ouvertes.fr/hal-01164667
• 13L. Richert, E. Lhomme, C. Fagard, Y. Levy, G. Chêne, R. Thiébaut.
  
  Recent developments in clinical trial designs for HIV vaccine research, in: Human vaccines & immunotherapeutics, 2015, vol. 11, n^o 4, pp. 1022–9. [ DOI : 10.1080/21645515.2015.1011974 ]
  
  https://hal.archives-ouvertes.fr/hal-01164644

International Conferences with Proceedings

• 14M. Le Goff, M. F. Avalos, P. Joly, M.-A. Jutand.
  
  Evolution des stratégies pédagogiques d'un DU, in: Colloque Francophone International sur l'Enseignement de la Statistique – CFIES'2015, Bordeaux, France, January 2015.
  
  https://hal.inria.fr/hal-01253156
• 15m. Née, M. F. Avalos, L. ORRIOLS, E. Lagarde.
  
  Impact of unmeasured covariates on bias and statistical power in health administrative databases: a simulation study, in: XVth Spanish Biometric Conference and the Vth Ibéro-American Biometric Meeting 2015, Bilbao, Spain, 2015.
  
  https://hal.inria.fr/hal-01253141
• 16P. Soret, C. Meza, K. Bertin, M. F. Avalos, P. Hellard.
  
  Function selection in mixed models using L1-penalization, in: XVth Spanish Biometric Conference and the Vth Ibéro-American Biometric Meeting 2015, Bilbao, Spain, 2015.
  
  https://hal.inria.fr/hal-01252267

National Conferences with Proceedings

• 17A. Todeschini, R. Genuer.
  
  Compétitions d'apprentissage automatique avec le package R rchallenge, in: 47èmes Journées de Statistique de la SFdS, Lille, France, Société Française de Statistique, June 2015.
  
  https://hal.inria.fr/hal-01157147

Conferences without Proceedings

• 18R. Genuer, J.-M. Poggi, C. Tuleau-Malot, N. Villa-Vialaneix.
  
  Random forests and big data, in: 47ème Journées de Statistique de la SFdS, Lille, France, Société Française de Statistique, June 2015.
  
  https://hal.archives-ouvertes.fr/hal-01160643

Other Publications

• 19R. Genuer, J.-M. Poggi, C. Tuleau-Malot, N. Villa-Vialaneix.
  
  Random Forests for Big Data, November 2015, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-01233923
• 20P. Soret, M. F. Avalos, R. Thiébaut.
  
  High-dimensional longitudinal genomic data: a survey and evaluation of publicly available implementations of machine learning methods, November 2015, Statistical Analysis of Massive Genomic Data, Poster.
  
  https://hal.inria.fr/hal-01253151

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