Abraich, A., A. Guilloux, and B. Hanczar (2022). “SurvCaus : Representation Balancing for Survival Causal Inference”. Submitted, code

Nevoret, C., S. Katsahian, and A. Guilloux (2022). “Debiasing the estimate of treatment effect on the treated with time‑varying counfounders”. Submitted, code

Morel, M., B. Bouyer, A.Guilloux, M. Laanani, F. Leroy, D. P. Nguyen, Y. Sebiat, E. Bacry, and S. Gaiffas(2020). Screening anxiolytics, hypnotics, antidepressants and neuroleptics for bone fracture risk amongelderly: a nation‑wide dynamic multivariate self‑control study using the SNDS claims database.eprint:(soumis). preprint

M. Alaya et al.(2018). “ High-Dimensional Cox and Aalen Models with Change-Points”. Hal

Virouleau A., Guilloux, A., Gaiffas S. et Bogdan M. (2017). “High-dimensional robust regression and outliers detection with SLOPE”. arxiv. (en révision)

Achab, M., A. Guilloux, S. Gaiffas et E. Bacry (2015). SGD with Variance Reduction beyond Empirical Risk Minimization. arxiv

Gaïffas, S. et A. Guilloux (2009). Learning and adaptive estimation for marker-dependent counting processes. arxiv

Comte, F., S. Gaiffas et A. Guilloux (2008). Adaptive estimation of the conditional intensity of marker- dependent counting processes.arxiv.

A Cottin, N Pécuchet, M Zulian, A Guilloux, S Katsahian (2022). IDNetwork: A deep Illness-Death Network based on multi-state event history process for disease prognostication. Accepté à Statistics in Medicine, pending patent

A Cottin, N Pécuchet, M Zulian, A Guilloux, S Katsahian (2021). “IDNetwork: A deep Illness-Death Network based on multi-states event history process for versatile disease prognostication.” Survival Prediction-Algorithms, Challenges and Applications, 1-21

Bussy, S., Alaya, M. Z., Jannot, A. S., & Guilloux, A. (2021). “Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics.” Biometrics, arxiv, code

Six, E., Guilloux, A. et al. (2020). “Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs”. In Blood

Alaya, M., S. Gaiffas, A. Guilloux et S. Bussy (2019). “Binarsity : a penalization for one-hot encoded features”. Journal of Machine Learning, arxiv, code

Bussy, S., Veil, R., Looten, V., Burgun, A., Gaïffas, S., Guilloux, A., … & Jannot, A. S. (2019). Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. BMC medical research methodology, 19(1), 50.

Cohen, R., E. Hain, O. Buhard, A. Guilloux, A. Bardier, R. Kaci, P. Bertheau, F. Renaud, F. Bibeau, J.-F. Fléjou, T. Andre, M. Svrcek et A. Duval (2019). “Association of Primary Resistance to Immune Checkpoint Inhibitors of Metastatic Colorectal Cancer With Misdiagnosis of Microsatellite Instability or Mismatch Repair Deficiency Status”. JAMA Oncology.

Bussy, S., S. Gaiffas, A. Guilloux et A. Jannot (2019). “C-mix : a high dimensional mixture model for censored durations, with applications to genetic data”. Statistical Methods for Medical Research, arxiv, code

Morel M., Bacry E., Gaiffas S., Guilloux A. et Leroy F. (2018). “ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection”.Biostatistics, arxiv, Code

Marisa L.,Jonchere V., Greene M. et … et Guilloux A., Collura A., de Reynies A. et Duval A. (2018). “Identification of positively and negatively selected driver gene mutations associated with colorectal cancer instability”. Cellular and Molecular Gastroenterology and Hepatology.

Allart, T., G. Levieux, M. Pierfitte, A. Guilloux et S. Natkin (2017). “Difficulty influence on motiva- tion over time in video games using survival analysis”. Proceedings of the 12th International Conference on the Foundations of Digital Games. ACM, p. 2.

Allart, T., G. Levieux, M. Pierfitte, A. Guilloux et S. Natkin (2016). “Design influence on player retention : A method based on time varying survival analysis”. Computational Intelligence and Games (CIG), 2016 IEEE Conference on. IEEE, p. 1–8.

Agathe Guilloux, Sarah Lemler et Marie-Luce Taupin (2016). “Adaptive kernel estimation of the baseline function in the Cox model, with high-dimensional covariates”. Journal of Multavariate Analysis

O. Buhard et al. HSP110 T17 simplifies and improves the microsatellite instablity testing in colorectal cancer patients. Journal of Medical Genetics (2016).

Agathe Guilloux, Sarah Lemler et Marie-Luce Taupin. Adaptive estimation of the baseline function in a high-dimensional Cox model via model selection . Journal of Statistical Planning and Inference (2016).

M. Alaya, S. Gaiffas et A. Guilloux (2015). Learning the Intensity of Time Events With Change-Points . IEEE Transactions on Information Theory, p. 5148–5171.

Sahra Bodo et al. “Diagnosis of Constitutional Mismatch Repair-Deficiency Syndrome Based on Mi- crosatellite Instability and Lymphocyte Tolerance to Methylating Agents”. Gastroenterology 149.4 (2015), p. 1017–1029.

Olivier Bouaziz et Agathe Guilloux (2014). “A penalized algorithm for event-specific rate models for recurrent events”. In : Biostatistics.

Ada Collura et al. Patients With Colorectal Tumors With Microsatellite Instability and Large Deletions in HSP110 T 17 Have Improved Response to 5-Fluorouracil–Based Chemotherapy . Gastroenterology 146.2 (2014), p. 401–411.

Jean-Yves Dauxois, Agathe Guilloux et Syed NUA Kirmani. Estimation in a competing risks proportional hazards model under length-biased sampling with censoring . Lifetime data analysis 20.2 (2014), p. 276–302.

Olivier Bouaziz, Fabienne Comte et Agathe Guilloux. Nonparametric estimation of the intensity function of a recurrent event process . In : Statistica Sinica 23.2 (2013), p. 635–665.

Elodie Brunel, Fabienne Comte et Agathe Guilloux. Nonparametric estimation for survival data with censoring indicators missing at random . Journal of Statistical Planning and Inference 143.10 (2013), p. 1653–1671.

Stéphane Gaiffas et Agathe Guilloux. High-dimensional additive hazards models and the lasso . Electronic Journal of Statistics 6 (2012), p. 522–546.

Fabienne Comte, St&eacutephane Gaiffas et Agathe Guilloux. Adaptive estimation of the conditional intensity of marker-dependent counting processes . Annales de l’institut Henri Poincaré (B) 47.4 (2011), p. 1171–1196.

Ségolen Geffray et Agathe Guilloux. Maximum likelihood estimator for cumulative incidence functions under proportionality constraint . In : Sankhya A 73.2 (2011), p. 303–328.

A. Zaanan et al. Impact of p53 expression and microsatellite instability on stage III colon cancer disease-free survival in patients treated by 5-fluorouracil and leucovorin with or without oxaliplatin . In : Annals of oncology 21.4 (2010), p. 772–780.

E Brunel, F Comte et Agathe Guilloux. Nonparametric density estimation in presence of bias and censoring . In : Test 18.1 (2009), p. 166–194.

Jamila El-Bchiri et al. Nonsense-mediated mRNA decay impacts MSI-driven carcinogenesis and anti-tumor immunity in colorectal cancers . In : PLoS One 3.7 (2008), e2583.

Elodie Brunel, Fabienne Comte et Agathe Guilloux. Estimation Strategies for Censored Lifetimes with a Lexis-Diagram Type Model . In : Scandinavian Journal of Statistics 35.3 (2008), p. 557–576.

Jean-Yves Dauxois et Agathe Guilloux. Nonparametric inference under competing risks and selection- biased sampling . In : Journal of Multivariate Analysis 99.4 (2008), p. 589–605.

Agathe Guilloux et Philippe Saint-Pierre. Estimateur de la fonction de r&eacutepartition bivari&eacutee avec censures &agrave droite et &agrave gauche . In : 52.1-2 (2008), p. 157–164.

J. El Bichri et al. Functional consequences due to differential frameshift mutation-derived mRNAs decay in colorectal cancers . In : Molecular Cancer Therapeutics 6.11 Supplement (2007), p. C247– C247.

Agathe Guilloux. Nonparametric estimation for censored lifetimes suffering from unknown selection bias . In : Mathematical Methods of Statistics 16.3 (2007), p. 202–216.

A. Guilloux. Estimation sous biais de sélection et avec fonction de poids inconnue . In : Comptes Rendus Mathematique 342.4 (2006), p. 275–278.

Jean-Yves Dauxois, Agathe Guilloux et Syed NUA Kirmani. Nonparametric estimation from proportional hazards competing risks data under selection bias . In : Nonparametric Statistics 17.6 (2005), p. 717–731.

Ségolen Geffray et Agathe Guilloux. Estimation dans un modèle de Koziol–Green généralisé . In : Comptes Rendus Math&eacutematique 341.1 (2005), p. 49–52.

Jean-Yves Dauxois, Agathe Guilloux et Syed NUA Kirmani. Estimation de la fonction de survie sous biais de longueur pour des risques concurrents et proportionnels . In : Comptes Rendus Math&eacutematique 337.11 (2003), p. 745–748.

Freddie Bray et al. Practical implications of imposing a new world standard population . In : Cancer causes & control 13.2 (2002), p. 175–182.

René Lambert et al. Incidence and mortality from stomach cancer in Japan, Slovenia and the USA . In : International Journal of Cancer 97.6 (2002), p. 811–818.

Elodie Brunel, Fabienne Comte et Agathe Guilloux. Estimation/Imputation strategies for missing data in survival analysis . In : Statistical Models and Methods for Reliability and Survival Analysis. John Wiley & Sons, Inc., Hoboken, USA, 2014, p. 229–252.

Agathe Guilloux. Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring . In : Statistical Models and Methods for Biomedical and Technical Systems. Springer, 2008, p. 213–224.