Publications

18/12/2024

[A] : Journal Article

[BC] : Book chapter

[ICP] : International Conference proceedings

[NCP] : National Conference proceedings

On-going publications

  1. [A] V. Anisimov, G. Mijoule, A. Turchetta, N. Savy. Statistical modelling of recruitment in multicentre clinical trials with patients’ dropout. En préparation pour Communication in Statistics.
  2. [A] T. Zikry, N. Freeman, T. Liu, N. Savy, M. Kosorok. Optimal Resource-Constrained When-To-Treat Learning. En préparation pour JASA.
  3. [A] S. Yazzourh, N. Savy, P. Saint-Pierre, M. Kosorok. Preference Learning for reward function construction of Reinforcement Learning Algorithms applied to Dynamic Treatment Regimes. En préparation.

Submitted

  1. [A] N.Z. Petrakos, E.M. Moodie, N. SavyFramework for Generating Synthetic Tabular Data in a Randomized Clinical Trial Setting. Statistics in Medicine. 2024.
  2. [A] T.M. Zikry, O. Wen, J.S. Ranek, N. Savy, D. Li, M.R. Kosorok, J.E. Purvis. Biologically interpretable hypothesis testing for comparing manifold approximations. PLOS Computational Biology. 2024.
  3. [A] S. Yazzourh, N. Savy, P. Saint-Pierre, M. Kosorok. Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes. International Statistical Review. 2024.
  4. [A] A. Mifrani, P. Saint-Pierre, N. SavyA Multi-objective Model Search Algorithm for Linear Regression. Submitted to International Journal of  Metaheuristics. 2024.

Under review

  1. [A] A. Mifrani, P. Saint-Pierre, N. SavySolution methods for a class of finite-horizon vector-valued Markov decision processes. En révision to Information Systems and Operational Research. 2024.
  2. [A] C. Bougel, S. Déjean, C. Giulioli, P. Saint-Pierre, N. Savy, S. Andrieu. How can methods for classifying trajectories may be used for prevention trials? Example in Alzheimer’s disease area. En révision pour Prevention Science  (2022).
  3. [A] S.D. Pene, A. Picot, F. Gamboa, N. Savy, C. Turpin, A. Jaafar. Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter. En révision pour Mathematics and Computers in Simulation (2024).

Refereed Publications

2024 ([A] : 50, [BC] : 4, [ICP] : 1, [NCP] : 7)

  1. [A (DOI)] A. Turchetta, E.E.M. Moodie, D.A. Stephens, N. Savy, Z. Moodie. The time-dependent Poisson-Gamma model in practice: recruitment forecasting in HIV trialsContemporary Clinical Trials vol. 144.
  2. [A (DOI)] R. Demeulemeester, P. Grosclaude, S. Grunenwald, P. Saint-Pierre, N. Savy and N.Costa.  Identification and economic evaluation of several differientiated thyroid cancer management pathways using sequence analysis. International Journal of Public Health vol. 69 (2024).
  3. [A] R. Demeulemeester, N.Costa, C. Marcelo, P. Pugliese, S. Pugliese, A. Certain, E. Billaud, J. Langlois, L. Cuzin, C. Arvieux, N. Savy, C. Jacomet and P. Saint-Pierre. Economic impact of HIV antiretrovirals quarterly dispensing: an agent based model simulation between 2020 and 2024. A paraître dans BMC Health (2024).
  4. [A (DOI)] H. Charbonneau, S. Savy, P. Berthoumieu, N. Savy, O. Anglès, A.L. Berthelot, M. Croute-Bayle, I. Decramer, D. Duterque, V. Julien, L. Mallet, M. M’rini, J.F. Quedreux, B. Richard, L. Sidobre, L. Taillefer, A. Thibaud, I. Abouliatim, O. Garcia, P. Soula, O. Vahdat, P. Brunel, C. Breil, G. Sciacca, M. Pasquié, N. Mayeur. Comprehensive perioperative blood management in patients undergoing elective bypass cardiac surgery: Benefit effect of health care education and systematic correction of iron deficiency and anemia on red blood cell transfusion. A paraître dans Journal of Clinical Anesthesia (2024).

2023 ([A] : 46, [BC] : 4, [ICP] : 1, [NCP] : 7)

  1. [A (DOI)] A. Turchetta, N. Savy, D. Stephens, E.M. Moodie, M.B. Klein. A time-dependent Poisson-Gamma model for recruitment forecasting in multicenter studies. Statistics in Medicine, Vol.42-23 pp. 4193-4206 (2023).
  2. [A (DOI)] P. Saint-Pierre, N. SavyAgent-based modeling in medical research, virtual baseline generator and change in patients’ profile issue.  The International Journal of Biostatistics, vol. 19, no. 2, pp. 333-349 (2023).
  3. [A (DOI)] C. Garcia, S. Dejean, N. Savy, J.C. Bordet, J. Series, S. Cadot, A. Ribes, S. Voisin, L. Rugeri, B. Payrastre, P. Sié. Multicolor flow cytometry in clinical samples for platelet signalling assessment. Thrombosis and Haemostasis, vol.7-4  (2023).
  4. [A (DOI)] R. Demeulemeester, N. Savy, P. Grosclaude, N. Costa, P. Saint-Pierre. Agent based modeling in health care economics: examples in the field of thyroid cancer. The International Journal of Biostatistics, vol.19, no. 2, pp. 351-368 (2023).

2022 ([A] : 42, [BC] : 4, [ICP] : 1, [NCP] : 7)

  1. [A (DOI)] G. Guernec, V. Garès, J. Omer, P. Saint-Pierre, N. Savy. OTrecod: An R Package for Data Fusion using Optimal Transportation Theory. Rjournal Vol. 14/4 (2022).
  2. [A (DOI)] N. Savy, E. Moodie, I. Drouet, A. Chambaz, B. Falissard, MR Kosorok, EF Krakow, DG Mayo, S. Senn, M. Van der Laan. Statistics, Philosophy and Health: The SMAC 2021 webconference. The International Journal of Biostatistics vol. 19, no. 2,  pp. 261-270 (2022).
  3. [A (DOI)] R. Demeulemeester, N. Savy, M. Mounié, L. Molinier, C. Delpierre, P. Dellamonica, C. Allavena, P. Pugliesse, L. Cuzin, P. Saint-Pierre, N. Costa. Economic impact of generic antiretrovirals in France for HIV patients’ care: a simulation between 2019 and 2023. BMC Health Services Research, vol. 22 (2022).
  4. [BC (ArXiv)] R. Demeulemeester, P. Saint-Pierre, N. Costa and N. Savy. Agent-Based modeling in Medical Research – Example in Health Economics. Springer Handbook of Precision Medicine (2022).

2021 ([A] : 39, [BC] : 3, [ICP] : 1, [NCP] : 7)

  1. [A (DOI)] L. Béthencourt, W. Dabachine, V. Dejouy, Z. Lalmiche, K. Neuberger, I. Ibnouhsein, S. Chéreau, C. Mathelin, N. Savy, P. Saint-Pierre, N. Bousquet. Guiding measurement protocols of connected medical devices using digital twins: A statistical methodology applied to detecting and monitoring lymphedema. IEEE Access vol. 9, pp. 39444-39465 (2021)
  2. [A (DOI)] N. Mayeur, N. Savy,  H. Charbonneau. Comment on “U-shaped relationship between preoperative plasma fibrinogen levels and severe peri-operative bleeding in cardiac surgery » by Mion et al. European Journal of Anaesthesiology 1; 38(11), pp. 1207-1208, (2021). 

2020 ([A] : 37, [BC] : 3, [ICP] : 1, [NCP] : 7)

  1. [A (DOI)] H. Charbonneau, M. Pasquié, P. Berthoumieu, N. Savy, G. Autones, O. Anglès, A-L. Berthelot, M. Croute-Bayle, I. Decramer, D. Duterque, Y. Gabiache, V. Julien, L. Mallet, M. M’rinia, J-F. Quedreux, B. Richard, L. Sidobre, L. Taillefer, P. Soulac, O. Garciac, I. Abouliatim, O. Vahdat, M. Bousquet, J-M. Ferradou, Y. Jansoug, P. Brunelh, C. Breilh, N. Mayeur. Patient blood management in elective bypass cardiac surgery: A 2-step single-centre interventional trial to analyse the impact of an educational programme and erythropoiesis stimulation on red blood cell transfusion. Contemporary Clinical Trials Communications, Volume 19 (2020).
  2. [A (DOI)] N. Savy, A. Mayère, A. Martin-Scholz, F. Lambotte. La fabrique des données à l’épreuve des programmes de big data. ADSP n° 112 (2020).
  3. [A (DOI)] Michael Mounié; Nadège Costa; Cécile Conte; Dominique Petiot; Didier Fabre; Fabien Despas; Maryse Lapeyre-Mestre; Guy Laurent; Nicolas Savy; Laurent Molinier, Real-world costs of illness of Hodgkin and the main B-Cell Non-Hodgkin lymphomas in France. Journal of Medical Economics 23(3) pp. 235-242 (2020).
  4. [A (DOI)] O. Catteau, A. Mayère, N. Savy, O. Beyne-Rauzy. Equiper et évaluer un « certificat de compétences cliniques ». « Sciences et Technologies de l’Information et de la Communication pour l’Education et la Formation » 27-2 pp. 103-130 (2020).

2019 ([A] : 33, [BC] : 3, [ICP] : 1, [NCP] : 7)

  1. [ICP] N. Savy, P. Saint-Pierre, S. Savy, S. Julien, E. Pham, ”In Silico Clinical Trials”: a way to improve drug development?. Proceedings of JSM 2019 – Biopharmaceutical Section, Denver, American Statistical Association (2019). 
  2. [A (DOI)] V. Garès, C. Diméglio, G. Guernec, R. Fantin, B. Lepage, M. Kosorok and N. SavyOn the use of optimal transportation theory to recode variables and application to database merging. The International Journal of Biostatistics vol.16(1) (2019).
  3. [A (DOI)] M. Mounié, G. Pugnet, N. Savy, M. Lapeyre-Mestre, L. Molinier, N. Costa. Additional costs of polymyalgia rheumatica with giant cell arteritis. Arthritis Care & Research, 71(8) pp. 1127-1131 (2019).

2018 ([A] : 31, [BC] : 3, [ICP] : 0, [NCP] : 7)

  1. [A (DOI)] M. Mounié, N. Costa, M. Gauthier, A. Palmaro, C. Delpierre, F. Despas, M. Lapeyre Mestre, G. Laurent, N. Savy, L. Molinier. Évaluation du coût de la prise en charge de la leucémie myéloïde chronique en Midi-Pyrénées. Journal de gestion et d’économie médicale, (36) pp. 109-122 (2018).
  2. [A (DOI)] M. Mounié, N. Costa, L. Sailler, M. Lapeyre-Mestre, R. Bourrel, N. Savy, L. Molinier, G. Pugnet. Incremental Costs in Giant Cell Arteritis. Arthritis and Care70(7) pp. 1074-1081 (2018).
  3. [A (DOI)] X. Coumoul, R. Sevien, L. Ferrier, L. Berthelot, M.L. Morvan, J.P. Antignac, C. Desdoits-Lethimonier, B. Jegou, C. Le Gall, J. Laurent, E. Jeunesse, J.P. Cravedi, N. Savy, V.  Théodorou, K. Dandere-Abdoulkarim, N. Arnich, F. Fourès, A. Moing, B. Laporte, F. Richard-Forget, R. Barouki, P. Rogowsky, B. Salles. The GMO90+ Project: Absence of evidence for biologically meaningful effects of genetically modified maize-based diets on wistar rats after 6-months feeding comparative trial. Toxicological Sciences 168(2):315-338 (2018).
  4. [A (DOI)] H. Charbonneau, M. Pasquié, B. Peyronnet, A. Descazeaud, N. Barry Delongchamps, E. Della Negra, R. Mathieu, G. Karsenty, J. Alexandre Long, C. Ballereau, A-R Azzouzi, B. Pradère, F. Bruyere, G. Fournier, S. Lebdai, J. Calves, L. Corbel, S. Vincendeau, G. Fiard, C. Thuillier, J-L Descotes, P. Colin, T. Culty, A. Hesbois, V. Fuzier, N. Savy, A. Pathak, P. Albaladejo, C-M Samama, F. Guerrero, V. Misrai, Stopping or maintaining oral anticoagulation in patients undergoing photoselective vaporization of the prostate (SOAP) surgery for benign prostate obstruction: study protocol for a multicentre randomized controlled trial. Trials vol. 19(1). (2018).
  5. [BC (DOI)] N. Savy, S. Savy, S. Andrieu, S. Marque. Simulated Clinical Trials: Principle, Good Practices, and focus on Virtual Patients Generation. Springer Proceedings in Mathematics & Statistics, chapter 21 (2018).
  6. [BC (DOI)] N. Minois, G. Mijoule, S. Savy, V. Lauwers-Cances, S. Andrieu, N. Savy,  Performances of Poisson-gamma model for patients’ recruitment in clinical trials when there are pauses in recruitment or when the number of centres is small. Springer Proceedings in Mathematics & Statistics, chapter 20  (2018).

2017 ([A] : 27, [BC] : 1, [ICP] : 0, [NCP] : 7)

  1. [A (DOI)] N. Minois, V. Lauwers-Cances, S. Savy, M. Attal, S. Andrieu, V. Anisimov, N. Savy, Using Poisson-gamma model to evaluate the duration of recruitment process when historical trials are available. Statistics in Medicine 36(23), pp. 3605-3620, (2017).
  2. [A (DOI)] N. Minois, S. Savy, V. Lauwers-Cances, S. Andrieu, N. Savy, How to deal with the Poisson-Gamma model to forecast patients’ recruitment in clinical trials when there are pauses in recruitment dynamic? Contemporary Clinical Trials Communications, 5 pp.144-152 (2017).
  3. [A (DOI)] Lepage, S. Lamy, N. Savy, T. Lang, The authors reply, Epidemiology, 28(3) pp. e3, (2017).
  4. [A (DOI)] V. Garès, S. Andrieu, J.F. Dupuy, N. Savy, On Fleming-Harrington’s test for late effects in prevention randomized controlled trials. Journal of Statistical Theory and Practice, 11 (3), pp.418-435 (2017).
  5. [A (DOI)] C. Hurault-Delarue, C. Chouquet, N. Savy, I. Lacroix, A-B Beau, J-L Montastruc, C. Damase-Michel. Interest of the trajectory method for the evaluation of outcomes after in utero drug exposure: example of anxiolytics and hypnotics. Pharmacoepidemiology and Drug Safety, 26(5), pp. 561-569, (2017).
  6. [A (DOI)] J. Vives, N. Savy, Anticipative Integrals with respect to a filtered Lévy Process and Lévy-Itô decomposition, Communications on Stochastic Analysis, 11(1) pp.63-85 (2017).

2016 ([A] : 21, [BC] : 1, [ICP] : 0, [NCP] : 7)

  1. [A (DOI)] B. Lepage, D. Dedieu, N. Savy, T. Lang, Estimating controlled direct effects in the presence of  intermediate confounding of the mediator–outcome relationship:
    Comparison of five different methods
    . Statistical Methods in Medical Research, 25(2), pp 553-70, (2016).
  2. [A (DOI)] C. Hurault-Delarue, C. Chouquet, N. Savy, I. Lacroix, A-B Beau, J-L Montastruc, C. Damase-Michel. How to take into account exposure to drugs over time in pharmacoepidemiology studies of pregnant women?  Pharmacoepidemiology and Drug Safety, 25(7), pp 770-7, (2016).

2015 ([A] : 19, [BC] : 1, [ICP] : 0, [NCP] : 7)

  1. [A (DOI)] B. Lepage, S. Lamy, D. Dedieu, N. Savy, T. Lang, Estimating the Causal Effect of an Exposure on Change from Baseline Using Directed Acyclic Graphs and Path Analysis, Epidemiology, 26(1), pp.  119-121, (2015).
  2. [A (DOI)] V. Garès, S. Andrieu, J.F. Dupuy, N. Savy, An omnibus test for several hazard alternatives in prevention in clinical trials, Statistics in Medicine, 34(4), pp. 541-557, (2015).
  3. [A (DOI)] C. Dimeglio, C. Delpierre, N. Savy, T. Lang, Big Data et Santé publique : plus que jamais, les enjeux de la connaissance, Actualité et dossier en santé publique n° 93, pp. 5-7, (2015).

2014 ([A] : 16, [BC] : 1, [ICP] : 0, [NCP] : 7)

  1. [A (DOI)] D. Dedieu, C. Delpierre, S. Gadat, T. Lang, B. Lepage, N. Savy, Mixed Hidden Markov Models for Heterogeneous Longitudinal Data with missingness and Errors in the outcome variable, Journal de la Société Française de Statistiques, 105(1), pp. 73-98, (2014).
  2. [A (DOI)] V. Garès, S. Andrieu, J.F. Dupuy, N. Savy, Comparison of constant piecewise weighted test and Fleming Harrington’s test, Electronic Journal of Statistics, 8(1), pp. 841-860, (2014).
  3. [A (DOI)] A. Aarnink, E. Mee, N. Savy, N. Congy, N. Rosa, A. Blancher, Deleterious impact of feto-maternal MHC compatibility on the success of pregnancy in a macaque model, Immunogenetics, 66, 105-113, (2014).
  4. [A (DOI)] B. Bercu, F. Proia, N. Savy, On Ornstein-Uhlenbeck driven by Ornstein-Uhlenbeck processes, Statistics and Probability Letters, 85, pp. 36-44, (2014).
  5. [BC (DOI)] G. Mijoule, N. Minois, V. Anisimov, and N. Savy. Additive model for cost modelling in clinical trial, Springer Proceedings in Mathematics & Statistics volume 114, chapter 36 (2014).
  6. [NCP] C. Hurault-Delarue, C. Chouquet, N. Savy, I. Lacroix, C. Damase-Michel, Trajectoires individuelles d’exposition aux psychotropes au cours de la grossesse et partitionnement en fonction du profil d’exposition : utilisation des K-means pour données longitudinales, 46ème journées de Statistiques, Rennes, 2014.

2013 ([A] : 12, [BC] : 0, [ICP] : 0, [NCP] : 6)

  1. [NCP] F. Proia, N. Savy, B. Bercu, Le processus de Ornstein-Uhlenbeck engendré par le processus de Ornstein-Uhlenbeck, 45ème journées de Statistiques, Toulouse, 2013

2012 ([A] : 12, [BC] : 0, [ICP] : 0, [NCP] : 5)

  1. [A (DOI)] A. Blancher, A. Aarnink, N. Savy, N. Takahata, Use of cumulative Poisson probability distribution as an estimator of the recombination rate from population-genetic data: example of the  Macaca fascicularis MHC, Genes, Genomes, Genetics, 2 pp. 123-130 (2012).
  2. [A (DOI)] G. Mijoule, S. Savy, N. Savy, Models for patients’ recruitment in clinical trials and sensitivity analysis, Statistics in Medicine, 31(16) pp. 1655-1674 (2012).
  3. [A (DOI)] A. Alvarez, F. Panloup, M. Pontier, N. Savy, Estimation of the instantaneous volatility, Statistical Inference for Stochastic Processes, 15 pp. 27-59 (2012).
  4. [A (DOI)] B. Bercu, L. Coutin, N. SavySharp large deviation for the non-stationary Ornstein-Uhlenbeck process, Stochastic Processes and their Applications, 122(10) pp. 3393-3424 (2012).
  5. [NCP] V. Garès, J.F. Dupuy, N. Savy, On the use of Fleming and Harrington’s test to detect late effects in clinical trials, « Statistical Models and Methods for Reliability and Survival Analysis and Their Validation », Bordeaux, 2012.
  6. [NCP] V. Garès, S. Andrieu, J.F. Dupuy, N. Savy, Utilisation du test de Fleming et Harrington pour la détection d’effets tardifs en recherche clinique, 44ème journées de Statistiques, Bruxelles, 2012.
  7. [NCP] N. Savy, B. Bercu, L. Coutin, Grandes Déviations Précises pour des processus de Ornstein Uhlenbeck, 44ème journées de Statistiques, Bruxelles, 2012.
  8. [NCP] G. Mijoule, N. Savy, Modélisation du recrutement de patients lors d’un essai clinique, 44ème journées de Statistiques, Bruxelles, 2012.

2011 ([A] : 8, [BC] : 0, [ICP] : 0, [NCP] : 1)

  1. [A (DOI)] B. Bercu, L. Coutin, N. Savy, Sharp large deviations for the fractional Ornstein-Uhlenbeck process. Theory of Probability and its Applications 55(4) pp. 575-610 (2011).

2010 ([A] : 7, [BC] : 0, [ICP] : 0, [NCP] : 1)

  1. [A (DOI)] B. Bercu, L. Coutin, N. Savy, Sharp large deviations for the fractional Ornstein-Uhlenbeck process. Teoriya Veroyatnostei i ee Primeneniya 55(4) pp. 1-40 (2010).
  2. [A (DOI)] L. Decreusefond, A. Joulin, N. Savy, Upper bound on Rubinstein distances on configuration spaces and applications, Communication on Stochastic Analysis and Applications 4(3) pp. 377-399 (2010).

2009 ([A] : 5, [BC] : 0, [ICP] : 0, [NCP] : 1)

2008 ([A] : 5, [BC] : 0, [ICP] : 0, [NCP] : 1)

2007 ([A] : 5, [BC] : 0, [ICP] : 0, [NCP] : 1)

2006 ([A] : 5, [BC] : 0, [ICP] : 0, [NCP] : 1)

  1. [A (DOI)] L. Coroller, I. Leguerinel, E. Mettler, N. Savy, P. Mafart, General model, based on two mixed weibull distributions of bacterial resistance, for describing various shapes of inactivation curves, Applied Environmental Microbiology,  72(10), pp. 6493-6502, (2006).
  2. [A (DOI)] L. Decreusefond, N. Savy, Anticipative Calculus for Filtered Poisson Processes, Annales I.H.P. 42 pp. 343-372 (2006).

2005 ([A] : 3, [BC] : 0, [ICP] : 0, [NCP] : 1 )

  1. [A (DOI)] S. Gaillard, I. Leguérinel, N. Savy, P. Mafart, Quantifying the combinated effects of heating time, the temperature and the recovery medium pH on the regrowth lag time of Bacillus Cereus spores after a heat treatment, International Journal of Food Microbiology, 105(1), pp. 53-58, (2005).
  2. [A (DOI)] O. Couvert, S. Gaillard, N. Savy, P. Mafart, I. Leguérinel, Survival curves of heated bacterial spores : effect of environmental factors on Weibull parameters, International Journal of Food Microbiology, 101(1), pp. 73-81, (2005).
  3. [A (DOI)] L. Decreusefond, N. Savy, Filtered Brownian motion as weak limit of Filtered Poisson Processes, Bernoulli, 11(2), pp. 283-292 (2005)
  4. [NCP] O. Couvert, N. Savy, P. Mafart, Monte Carlo Simulation of F-value distribution, « Predictive Modelling in Foods », Quimper, 2005.

Package R

  1. A. Turchetta, N. Savy, D. Stephens, E.M. Moodie, M.B. Klein. tPG : Forecasting Recruitments via the Time-Dependent Poisson-Gamma Model, Github (Link), 2023.
  2. G. Guernec, V. Garès, P. Navaro, J. Omer, P. Saint-Pierre, N. Savy. OTrecod: Data Fusion using Optimal Transportation Theory, dépot CRAN, 2021.

Thesis manuscripts

  1.  N. Savy, Investigations on Stochastic Calculus, Statistics of Processes. Applied Statistics for Biology and Medical Research, Manuscrit d’Habilitation à diriger des recherches, Université de Toulouse III, 2014.
  2. N. Savy, Mouvement Brownien fractionnaire, applications aux télécommunications. Calcul stochastique relativement à des processus fractionnaires, Manuscrit de Doctorat, Université de Rennes I, 2003.

Education – Popularizing science

  1. [Book Chapter (link)] N. Savy. Les cohortes virtuelles : La simulation numérique pour la recherche médicale. Le Petit Illustré Biologie, (2021).
  2. [Book (link)] N. Savy. Probabilités et statistiques pour modéliser et décider. Tests, validation, régression, plans d’expérience. Collection Technosup. Editions Ellipses. 256 pages. (2006).
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