Jean-François DUPUY


Research topics

Regression models for count data, zero-inflated regression models
Extreme value analysis
Censored data, survival analysis
Applications: health economics, medicine

Publications

refereed papers

29. Diallo A., Diop A., Dupuy J.-F. Analysis of multinomial counts with joint zero-inflation, with an application to health economics. Journal of Statistical Planning and Inference, to appear.
28. Diallo A., Diop A., Dupuy J.-F. Asymptotic properties of the maximum likelihood estimator in zero-inflated binomial regression.   Communications in Statistics - Theory and Methods 46, No. 20, 9930-9948, 2017.
  1. 27. Dupuy J.-F. Inference in a generalized endpoint-inflated binomial regression model. Statistics 51, No. 4, 888-903, 2017.
  2. 26. Garès V., Andrieu S., Dupuy J.-F., Savy N. On Fleming-Harrington's test for late effects in prevention randomized controlled trials. Journal of Statistical Theory and Practice 11, No. 3, 418-435, 2017.
  3. 25. Ameraoui A., Boukhetala K., Dupuy J.-F. Bayesian estimation of the tail index of a heavy-tailed distribution under random censoring. Computational Statistics & Data Analysis 104, 148-168, 2016.
  4. 24. Ndao P., Diop A., Dupuy J.-F. Nonparametric estimation of the conditional extreme-value index with random covariates and censoring. Journal of Statistical Planning and Inference 168, 20-37, 2016.
  5. 23. Diop A., Diop A., Dupuy J.-F. Simulation-based inference in a zero-inflated Bernoulli regression model. Communications in Statistics - Simulation and Computation  45, No. 10, 3597-3614, 2016.
  6. 22. Garès V., Andrieu S., Dupuy J.-F., Savy N. An omnibus test for several hazard alternatives in prevention randomized controlled clinical trials. Statistics in Medicine 34, No. 4, 541-557, 2015.
  7. 21. Garès V., Andrieu S., Dupuy J.-F., Savy N. A comparison of the constant piecewise weighted logrank and Fleming-Harrington tests. Electronic Journal of Statistics 8, 841-860, 2014.
  8. 20. Ndao P., Diop A., Dupuy J.-F. Nonparametric estimation of the conditional tail index and extreme quantiles under random censoring. Computational Statistics & Data Analysis 79, 63-79, 2014.
  9. 19. Dupuy J.-F. Accelerated failure time models: a review. International Journal of Performability Engineering 10, No.1, 23-29, 2014.
  10. 18. Mezaouer A., Dupuy J.-F., Boukhetala K. Estimation dans le modèle de transformation linéaire avec données manquantes. Journal de la Société Française de Statistique 155, No. 3, 120-134, 2014.
  11. 17. Viada Gonzalez C., Dupuy J.-F., Fors López M., Lorenzo Luaces P., Rodriguez C., González Marinello G., Neninger Vinagera E., García Verdecia B., Brito B., Pérez L., Concepción M., Crombet-Ramos T. Stratified Cox Regression Analysis of Survival under CIMAvaxEGF vaccine. Journal of Cancer Therapy 4, No. 8, 8-14, 2013.
  12. 16. Viada Gonzalez C., Dupuy J.-F., Fors López M., Lorenzo Luaces P., González Marinello G., Neninger Vinagera E., García Verdecia B., Crombet-Ramos T. CIMAvaxEGF vaccine therapy for non-small cell lung cancer: A weighted log-rank tests-based evaluation. Modern Chemotherapy 2, No. 3, 51-56, 2013.
  13. 15. Mannocci L., Dabin W., Augeraud-Véron E., Dupuy J.-F., Barbraud C., Ridoux V. Assessing the impact of bycatch on Dolphin populations: the case of the Common Dolphin in the eastern North Atlantic. PLOS ONE 7, No. 2, 2012.
  14. 14. Fors López M., Dupuy J.-F., Viada Gonzalez C. Effectiveness of adaptive designs for phase II cancer trials. Contemporary Clinical Trials 33, No. 1, 223-227, 2012.
  15. 13. Diop A., Diop A., Dupuy J.-F. Maximum likelihood estimation in the logistic regression model with a cure fraction. Electronic Journal of Statistics 5, 460-483, 2011.
  16. 12. Detais A., Dupuy J.-F. Maximum likelihood estimation in a partially observed stratified regression model. Annals of the Institute of Statistical Mathematics 63, No. 6, 1183-1206, 2011.
  17. 11. Hernandez-Quintero A., Dupuy J.-F., Escarela G. Analysis of a semiparametric mixture model for competing risks. Annals of the Institute of Statistical Mathematics 63, No. 2, 305-329, 2011.
  18. 10. Dupuy J.-F., Loubes J.-M., Maza E. Non parametric estimation of the structural expectation of a stochastic increasing function. Statistics and Computing 21, No. 1, 121-136, 2011.
  19. 9. Dupuy J.-F., Gneyou K. A wavelet estimator of the intensity function with censored data. Quality Technology and Quantitative Management 8, No. 4, 401-410, 2011.
  20. 8. Dupuy J.-F. Detecting change in a hazard regression model with right-censoring. Journal of Statistical Planning and Inference 139, No. 5, 1578-1586, 2009.
  21. 7. Dupuy J.-F., Leconte E. A study of regression calibration in a partially observed stratified Cox model. Journal of Statistical Planning and Inference 139, No. 2, 317-328, 2009.
  22. 6. Dupuy J.-F. On the random effects Cox model with time-varying regression parameter. Journal of Statistical Theory and Practice 3, No. 4, 763-776, 2009.
  23. 5. Dupuy J.-F. Stratified logrank test of no randomized treatment effect with missing stratum information. Communications in Statistics - Theory and Methods 37, No. 17, 2760-2776, 2008. 
  24. 4. Dupuy J.-F., Grama I., Mesbah M. Asymptotic theory for the Cox model with missing time dependent covariate. Annals of Statistics 34, No. 2, 903-924, 2006. 
  25. 3. Dupuy J.-F. The proportional hazards model with covariate measurement error. Journal of Statistical Planning and Inference 135, No. 2, 260-275, 2005.
  26. 2. Dupuy J.-F., Mesbah M. Estimation of the asymptotic variance of SPML estimators in the Cox model with a missing time-dependent covariate. Communications in Statistics - Theory and Methods 33, No. 6, 1385-1401, 2004.
  27. 1. Dupuy J.-F., Mesbah M. Joint modeling of event time and nonignorable missing longitudinal data. Lifetime Data Analysis 8, No. 2, 99-115, 2002.

short Notes

  1. 3. Dupuy J.-F., Escarela G. Modélisation de risques concurrents par un modèle de mélange semiparamétrique. C. R., Math., Acad. Sci. Paris 344, No. 10, 641-644, 2007.
  2. 2. Dupuy J.-F. Estimation in a change-point hazard regression model. Statistics & Probability Letters 76, No. 2, 182-190, 2006.
  3. 1. Dupuy J.-F., Grama I., Mesbah M. Normalité asymptotique des estimateurs semiparamétriques dans le modèle de Cox avec covariable manquante nonignorable. C. R., Math., Acad. Sci. Paris 336, No.1, 81-84, 2003.

Contributions in edited volumes

6. Mezaouer A., Dupuy J.-F., Boukhetala K. A nonparametric test for comparing treatments with missing data and dependent censoring. In: Statistical Models and Methods for Reliability and Survival Analysis (Eds, Couallier et al.), 297-310, ISTE-Wiley, 2013.
  1. 5. Dupuy J.-F., Leconte E. Cox regression with missing values of a covariate having a non-proportional effect on hazard of failure. In: Mathematical Methods in Survival Analysis, Reliability and Quality of Life (Eds, Huber et al.), 133-149, Wiley, 2008.
  2. 4. Dupuy J.-F. A survival model with change-point in both hazard and regression parameter. In: Probability, Statistics and Modelling in Public Health (Eds, Nikulin et al.), 136-144, Springer, 2006.
  3. 3. Dupuy J.-F. Nonparametric maximum likelihood estimation in the PH model with covariate measurement error. In: Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis and QoL (Eds, Nikulin et al.), 13-25, Birkhauser, 2004.
  4. 2. Mesbah M., Dupuy J.-F., Heutte N., Awad L. Joint analysis of longitudinal quality of life and survival processes. In: Handbook of Statistics, Vol. 23 - Advances in Survival Analysis (Eds, Balakrishnan and Rao), 689-728, Elsevier, 2004.
  5. 1. Hamon A., Dupuy J.-F., Mesbah M. Validation of model assumptions in quality of life measurements. In: Goodness-of-fit tests and model validity (Eds, Huber et al.), 371-383, Birkhäuser, 2002.

submitted papers

  1. 1. Diallo A., Diop A., Dupuy J.-F. Estimation in zero-inflated binomial regression with missing covariates, 2017.