Model consistent lasso estimation through the bootstrap, Proceedings of the 25th International Conference on Machine Learning, vol.27, p.53, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00271289
Drug consumption databases in europe-country profile, PROTECT project, p.34, 2015. ,
The international consensus group for hematology review : suggested criteria for action following automated CBC and WBC differential analysis, Lab Hematol, vol.11, p.108, 2005. ,
Isolation of a t-lymphotropic retrovirus from a patient at risk for acquired immune deficiency syndrome (aids), Science, issue.220, p.74, 1983. ,
On the conditional logistic estimator in two-arm experimental studies with noncompliance and before-after binary outcomes, Stat. Med, vol.29, p.55, 2010. ,
Incorporating prior information with fused sparse group lasso : Application to prediction of clinical measures from neuroimages, p.28, 2018. ,
The individualized genetic barrier predicts treatment response in a large cohort of HIV-1 infected patients, PLoS Computational Biology, vol.9, issue.8, p.83, 2013. ,
Least squares after model selection in high-dimensional sparse models, Bernoulli, vol.19, p.52, 2013. ,
L1-penalized quantile regression in high-dimensional sparse models, The Annals of Statistics, vol.39, issue.1, p.85, 2011. ,
The national healthcare system claims databases in france, sniiram and egb : Powerful tools for pharmacoepidemiology, Pharmacoepidemiol Drug Saf, vol.26, p.35, 2017. ,
A lasso for hierarchical interactions, Ann. Statist, vol.41, p.51, 2013. ,
Optimisation des règles de déclenchement d'une revue microscopique du frottis sanguin en laboratoire de ville, Annales de Biologie Clinique, vol.76, issue.2, p.100, 2018. ,
Comparison between splines and fractional polynomials for multivariable model building with continuous covariates : a simulation study with continuous response, Stat Med, vol.6, issue.14, pp.2262-2277, 2013. ,
The group fused lasso for multiple change-point detection, p.26, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00602121
A survey of predictive modeling on imbalanced domains, vol.49, p.102, 2016. ,
Heuristics of instability and stabilization in model selection, Ann. Statist, vol.24, p.22, 1996. ,
Statistical modeling : The two cultures (with comments and a rejoinder by the author), Statist. Sci, vol.16, issue.3, p.13, 2001. ,
Prise en charge médicale des personnes vivant avec le VIH-Recommandations du groupe d'experts sous la direction du Pr Philippe Morlat et sous l ,
Linear regression with censored data, Biometrika, vol.66, p.85, 1979. ,
Causal statistical inference in high dimensions, Mathematical Methods of Operations Research, vol.77, issue.3, p.19, 2013. ,
Dimension reduction and variable selection in case control studies via regularized likelihood optimization, Electron. J. Statist, vol.3, p.29, 2009. ,
DOI : 10.1214/09-ejs537
URL : https://doi.org/10.1214/09-ejs537
Penalized least squares regression methods and applications to neuroimaging, Neuroimage, vol.55, p.53, 2011. ,
DOI : 10.1016/j.neuroimage.2010.12.028
URL : http://europepmc.org/articles/pmc5485905?pdf=render
Monograph 14-Male pedestrian fatalities, p.40, 2003. ,
Purposeful selection of variables in logistic regression, Source Code Biol Med, p.11, 2008. ,
DOI : 10.1186/1751-0473-3-17
URL : https://scfbm.biomedcentral.com/track/pdf/10.1186/1751-0473-3-17
Regularized estimation for the accelerated failure time model, Biometrics, vol.65, p.93, 2009. ,
DOI : 10.1111/j.1541-0420.2008.01074.x
URL : http://europepmc.org/articles/pmc3073158?pdf=render
Near-ideal model selection by L1 minimization, 2007. ,
Enhancing sparsity by reweighted l1 minimization, J Fourier Anal Appl, vol.14, p.57, 2008. ,
DOI : 10.21236/ada528514
URL : http://www.dtic.mil/dtic/tr/fulltext/u2/a528514.pdf
Rationale for using insensitive quality control rules for today's hematology analyzers, International Journal of Laboratory Hematology, vol.32, p.100, 2010. ,
Special issue on data-adaptive statistical inference, The International Journal of Biostatistics, vol.12, issue.1, p.19, 2016. ,
DOI : 10.1515/ijb-2016-0033
URL : http://www.degruyter.com/downloadpdf/j/ijb.2016.12.issue-1/ijb-2016-0033/ijb-2016-0033.xml
Psychotropic drugs and risk of motor vehicle accidents : a population-based case-control study, Br J Clin Pharmacol, vol.75, p.34, 2013. ,
DOI : 10.1111/j.1365-2125.2012.04410.x
URL : https://bpspubs.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2125.2012.04410.x
Asymptotic properties of the residual bootstrap for lasso estimators, Proceedings of the, vol.138, p.53, 2010. ,
Bootstrapping lasso estimators, Journal of the American Statistical Association, vol.106, p.53, 2011. ,
DOI : 10.1198/jasa.2011.tm10159
Synthetic minority over-sampling technique, Journal of Articial Intelligent Research, vol.16, p.103, 2002. ,
DOI : 10.1613/jair.953
URL : https://jair.org/index.php/jair/article/download/10302/24590
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration, Biometrics, vol.71, issue.4, p.111, 2015. ,
DOI : 10.1111/biom.12343
URL : http://europepmc.org/articles/pmc4713389?pdf=render
Generalized additive model selection, vol.28, p.104, 2015. ,
A tutorial on rank-based coefficient estimation for censored data in small-and large-scale problems, Statistics and computing, vol.23, issue.5, p.81, 2013. ,
DOI : 10.1007/s11222-012-9333-9
URL : http://europepmc.org/articles/pmc3742389?pdf=render
Master sciences, technologies, santé, mention santé publique, Introduction à l'épidémiologie, 2017. ,
Are the review criteria for automated complete blood counts of the International Society of Laboratory Hematology suitable for all hematology laboratories, Revista Brasileira de Hematologia e Hemoterapia, vol.36, p.108, 2014. ,
Evaluation of criteria of manual blood smear review following automated complete blood counts in a large university hospital, vol.39, p.106, 2017. ,
A newton-like algorithm for likelihood maximization the robust-variance scoring algorithm, p.93, 2006. ,
, Modèles biostatistiques pour l'épidémiologie. de Boeck, p.80, 2015.
Computational tools for exact conditional logistic regression, Stat. Med, vol.20, p.55, 2001. ,
Initiatives for developing and comparing genotype interpretation systems : external validation of existing rule-based interpretation systems for abacavir against virological response, HIV medicine, vol.9, issue.1, p.90, 2008. ,
for the EuroSIDA, and the United Kingdom CHIC/United Kingdom HDRD Studies. Can linear regression modeling help clinicians in the interpretation of genotypic resistance data ? an application to derive a lopinavir-score, PLoS one, vol.6, issue.11, p.94, 2011. ,
Avoiding power loss associated with categorization and ordinal scores in doseresponse and trend analysis, Epidemiology, vol.6, p.14, 1995. ,
Statistical foundations for model-based adjustments, Annu Rev Public Health, vol.18, issue.11, p.50, 2015. ,
Causal diagrams, International Encyclopedia of Statistical Science, vol.3, pp.208-216 ,
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data, Bioinformatics, vol.21, p.61, 2005. ,
Etude des résistances du VIH-1 au traitement antirétroviral et amélioration du suivi virologique des patients vivant avec le VIH dans les pays du Sud, p.75, 2016. ,
Purpose and criteria for blood smear scan, blood smear examination, and blood smear review, Ann Lab Med, vol.33, issue.1, p.100, 2013. ,
An introduction to variable and feature selection, Journal of Machine Learning, vol.3, issue.10, pp.1157-1182, 2003. ,
Bootstrap-based penalty choice for the lasso, achieving oracle performance, Statistica Sinica, vol.19, p.25, 2009. ,
Model uncertainty and variable selection in bayesian lasso regression, Stat Comput, vol.20, p.53, 2010. ,
Interaction screening for ultra-high dimensional data, J. Am. Stat. Assoc, vol.109, p.52, 2014. ,
Convex modeling of interactions with strong heredity, J. Comput. Graph. Stat, vol.25, p.52, 2016. ,
Generalized additive models, vol.14, p.28, 1990. ,
The Elements of Statistical Learning. Data Mining, Inference, and Prediction, Springer Series in Statistics, vol.14, p.16, 2001. ,
Statistical Learning with Sparsity : The Lasso and Generalizations, vol.24, p.27, 2015. ,
Learning from imbalanced data, IEEE Trans. on Knowl. and Data Eng, vol.21, issue.9, p.104, 2009. ,
Quelques questions de sélection de variables autour de l'estimateur LASSO, p.26, 2009. ,
Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets, Stat. Med, vol.29, p.55, 2010. ,
Five myths about variable selection, Transplant International, vol.30, p.16, 2016. ,
Variable selection-a review and recommendations for the practicing statistician, Biometrical Journal, vol.60, p.17, 2018. ,
On the necessity of irrelevant variables, Journal of Machine Learning Research, vol.13, p.18, 2012. ,
More than obvious : Better methods for interpreting nondetect data, Environmental Science & Technology, vol.39, issue.20, p.84, 2005. ,
Reducing the number of manual film reviews in hematology laboratories : improving the consensus algorithm by machine learning, p.107, 2018. ,
A comparison of several methods for analyzing censored data. The Annals of Occupational Hygiene, vol.51, p.93, 2007. ,
Antiretroviral drug resistance testing in adult HIV-1 infection : 2008 recommendations of an International AIDS SocietyUSA panel, Clinical Infectious Diseases, vol.47, issue.2, p.75, 2008. ,
Ridge regression : applications to nonorthogonal problems, Technometrics, vol.12, issue.1, p.21, 1970. ,
Transmission of HIV drug resistance and the predicted effect on current first-line regimens in europe, Clinical infectious diseases, vol.62, issue.5, p.75, 2016. ,
Injury surveillance guidelines, World Health Organization, p.36, 2001. ,
Early colorectal cancer detected by machine learning model using gender, age, and complete blood count data, Dig Dis Sci, vol.62, p.101, 2017. ,
Applied logistic regression (Wiley Series in probability and statistics), vol.11, p.12, 2000. ,
Controlling the false discoveries in lasso, Biometrics, vol.73, p.30, 2017. ,
Estimation and selection via absolute penalized convex minimization and its multistage adaptive applications, Journal of Machine Learning Research, vol.13, issue.23, pp.1839-1864, 2012. ,
The iterated lasso for high-dimensional logistic regression, vol.392, p.23, 2008. ,
Regularized estimation in the accelerated failure time model with high-dimensional covariates, Biometrics, vol.62, p.81, 2006. ,
Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares, Bioinformatics, vol.20, issue.6, p.82, 2004. ,
Mixed effects models with censored data with application to HIV RNA levels, Biometrics, vol.55, p.81, 1999. ,
Optimization of laboratory workflow in clinical hematology laboratory with reduced manual slide review : comparison between Sysmex XE-2100 and ABX Pentra DX120, Int J Lab Hematol, vol.33, issue.4, p.100, 2011. ,
Results by Cause 1990-2010. Institute for Health Metrics and Evaluation, Global Burden of Disease Study 2010, p.38, 2010. ,
Enquête Permanente sur la Prescription Médicale (EPPM), IMS Health, p.45, 2005. ,
Vers les objectifs analytiques pertinents pour les paramètres de l'hémogramme, Ann Biol Clin, vol.72, p.100, 2014. ,
Random survival forests, The Annals of Applied Statistics, vol.2, p.81, 2008. ,
Current perspectives on HIV-1 antiretroviral drug resistance, Viruses, vol.6, issue.10, p.75, 2014. ,
Group lasso with overlap and graph lasso, Proceedings of the 26th annual international conference on machine learning, p.27, 2009. ,
Analysis of left-censored longitudinal data with application to viral load in HIV infection, Biostatistics, vol.1, issue.4, p.81, 2000. ,
Overlap bias in the case-crossover design, with application to air pollution exposures, Stat. Med, vol.24, p.64, 2005. ,
Detecting confounding in multivariate linear models via spectral analysis, Journal of Causal Inference, vol.6, issue.1, p.19, 2017. ,
Detecting non-causal artifacts in multivariate linear regression models, Proceedings of the 35th International Conference on Machine Learning, vol.80, pp.2245-2253, 2018. ,
Probabilistic linkage of large public health data files, Stat Med, vol.14, p.43, 1995. ,
On model selection consistency of the elastic net when p»n, Statistica Sinica, vol.20, issue.2, p.26, 2010. ,
Rank-based estimation in the 1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data, Biostatistics, vol.10, p.81, 2009. ,
Variable selection in semiparametric linear regression with censored data, Journal of the Royal Statistical Society : Series B (Statistical Methodology), vol.70, p.93, 2008. ,
On Lasso for censored data, Electronic Journal of Statistics, vol.3, issue.86, p.94, 2009. ,
On path restoration for censored outcomes, Biometrics, vol.67, p.86, 2011. ,
Update of the drug resistance mutations in HIV-1, Top HIV Med, vol.17, issue.5, p.95, 1991. ,
Network modeling of the transcriptional effects of copy number aberrations in glioblastoma, Molecular Systems Biology, vol.7, issue.486, p.62, 2011. ,
On verifiable sufficient conditions for sparse signal recovery via L1 minimization, Math. Programming, vol.127, issue.23, pp.57-88, 2011. ,
Regression models for censored serological data, Journal of medical microbiology, vol.62, p.93, 2013. ,
Big data and large sample size : A cautionary note on the potential for bias, Clinical and Translational Science, vol.7, p.15, 2014. ,
Substance use and social, health and safety-related factors among fatally injured drivers, Accid Anal Prev, vol.45, p.34, 2012. ,
A fast tracking algorithm for generalized lars/lasso, IEEE Transactions on Neural Networks, vol.18, issue.6, p.60, 2007. ,
Selecting shrinkage parameters for effect estimation : The multi-ethnic study of atherosclerosis, Am J Epidemiol, vol.187, p.17, 2018. ,
Planning for the future of epidemiology in the era of big data and precision medicine, Am J Epidemiol, vol.182, p.15, 2015. ,
Consistent model selection criteria on high dimensions, Journal of Machine Learning Research, vol.13, p.30, 2012. ,
Asymptotics for lasso-type estimators, Ann. Statist, vol.28, p.52, 2000. ,
Traumatismes : les enjeux de santé publique, vol.23, p.38, 2013. ,
Éléments pour une histoire du "numéro de sécurité sociale, vol.6, p.35, 2018. ,
Mortalité par accident de la vie courante en france métropolitaine, Bull Epidemiol Hebd, vol.1, p.37, 2000. ,
Cannabis intoxication and fatal road crashes in france : population based case-control study, BMJ, vol.331, issue.7529, p.44, 2005. ,
The use of vector bootstrapping to improve variable selection precision in lasso models, Statistical applications in genetics and molecular biology, vol.15, p.25, 2016. ,
Sparse pls discriminant analysis : Biologically relevant feature selection and graphical displays for multiclass problems, BMC Bioinformatics, vol.12, p.31, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00959981
Computational Systems Biology : Inference and Modelling, Limited, issue.10, 2016. ,
Computationally efficient confidence intervals for cross-validated area under the roc curve estimates, Electronic Journal of Statistics, vol.9, p.30, 2015. ,
Exact post-selection inference, with application to the lasso, Ann. Statist, vol.44, p.53, 2016. ,
Multiple imputation for left-censored biomarker data based on Gibbs sampling method, Statistics in Medicine, vol.31, p.80, 2012. ,
Is a cutoff of 10% appropriate for the change-in-estimate criterion of confounder identification ?, J Epidemiol, vol.24, p.12, 2014. ,
Should we adjust for a confounder if empirical and theoretical criteria yield contradictory results ? a simulation study, Scientific Reports, vol.4, p.12, 2014. ,
Efficient L1-regularized logistic regression, Proceedings of the 21th National Conference on Artificial Intelligence (AAAI), p.56, 2006. ,
Arrêté du 27 mars 2007 relatif aux conditions d'élaboration des statistiques relatives aux accidents corporels de la circulation ,
A note on the lasso and related procedures in model selection, Statistica Sinica, vol.16, p.18, 2006. ,
The spectrum of engagement in HIV care : do more than 19% of HIV-infected persons in the US have undetectable viral load ? Clinical infectious diseases, vol.53, p.94, 2011. ,
Clinical trials using HIV-1 RNA-based primary endpoints : Statistical analysis and potential biase, J Acquir Immune Defic Syndr Hum Retrovirol, vol.20, issue.3, p.86, 1999. ,
High-dimensional additive modeling. annals of statistics, Annals of Statistics, vol.37, pp.3779-3821, 2009. ,
Stability selection, J. Roy. Statist. Soc. Ser. B, vol.72, p.25, 2010. ,
The impact of confounder selection criteria on effect estimation, Am J Epidemiol, vol.129, p.12, 1993. ,
Exchangeability in the case-crossover design, Int J Epidemiol, vol.43, issue.5, p.49, 2014. ,
Control sampling strategies for case-crossover studies : An assessment of relative efficiency, Am J Epidemiol, vol.142, p.64, 1995. ,
New opioid analgesic use and the risk of injurious single-vehicle crashes in drivers aged 50-80 years : A population-based matched case-control study, Age Ageing, vol.45, p.34, 2016. ,
Commentary : Epidemiology in the era of big data, Epidemiology, vol.26, p.15, 2015. ,
Whinter : A working set algorithm for high-dimensional sparse second order interaction models, p.52, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01711018
French health insurance databases : What interest for medical research, Rev Med Interne, vol.36, p.35, 2015. ,
Censored linear model in high dimensions, TEST, vol.81, p.95, 2015. ,
Linear regression with an independent variable subject to a detection limit, Epidemiology, vol.21, p.81, 2010. ,
Comparison of health insurance claims and patient interviews in assessing drug use : data from the three-city (3c) study, Pharmacoepidemiol Drug Saf, vol.18, issue.4, p.46, 2009. ,
Laboratory productivity and the rate of manual peripheralblood smear review : a college of american pathologists q-probes study of 95,141 complete blood count determinations performed in 263 institutions, Arch Pathol Lab Med, vol.130, p.100, 2006. ,
Étude de l'association entre consommation médicamenteuse et risque d'accident de la route, Groupe Biopharmacie et Santé de la SFdS, vol.64, p.71, 2014. ,
Impact of unmeasured covariates on bias and statistical power in health administrative databases : a simulation study, XVth Spanish Biometric Conference and the Vth Ibéro-American Biometric Meeting, vol.64, p.71, 2015. ,
Prescription medicine use by pedestrians and the risk of injurious road traffic crashes : A case-crossover study, PLoS Medicine, vol.14, p.66, 2017. ,
Consommation médicamenteuse et risque d'accident de la route : exploration par simulation de schémas d'études épidémiologiques applicables à partir des données médicoadministratives. Stage de Master 2 Santé Publique, spécialité Biostatistique, Encadrement : M. Avalos et L. Orriols, équipe INRIA SISTM, vol.64, p.71, 2014. ,
, , vol.37, p.39, 2017.
The impact of medicinal drugs on traffic safety : A systematic review of epidemiological studies, Pharmacoepidemiol Drug Saf, vol.18, p.39, 2009. ,
URL : https://hal.archives-ouvertes.fr/inserm-00370537
Prescription medicines and the risk of road traffic crashes : A French registrybased study, PLoS Med, vol.7, issue.11, p.55 ,
URL : https://hal.archives-ouvertes.fr/inserm-00700891
Benzodiazepine-like hypnotics and the associated risk of road traffic accidents, Clin Pharmacol Ther, vol.89, issue.4, p.39, 2011. ,
Risk of injurious road traffic crash after prescription of antidepressants, J Clin Psychiatry, vol.73, issue.8, p.39, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01010743
Prescription of antidepressants and the risk of road traffic crash in the elderly : a case-crossover study, Br J Clin Pharmacol, vol.76, issue.5, p.39, 2013. ,
Santé et insécurité routière : influence de la consommation de médicaments (étude CESIR-A), p.42, 2010. ,
On the lasso and its dual, Journal of Computational and Graphical Statistics, vol.9, p.52, 2000. ,
Effectiveness of the International Consensus Group criteria for manual peripheral smear review, Indian Journal of Pathology and Microbiology, vol.61, issue.3, p.100, 2018. ,
Benzodiazepines and injurious falls in community dwelling elders, Drugs Aging, vol.25, p.71, 2008. ,
The bayesian lasso, J. Am. Stat. Assoc, vol.103, p.53, 2008. ,
l 1-regularization path algorithm for generalized linear models, J. Roy. Statist. Soc. Ser. B, vol.69, p.63, 2007. ,
Longitudinal analysis of quantitative virologic measures in human immunodeficiency virus-infected subjects with > or = 400 CD4 lymphocytes : implications for applying measurements to individual patients. National Institute of Allergy and Infectious Diseases AIDS Vaccine Evaluation Group, Journal of Infectious Disease, vol.175, issue.2, p.80, 1997. ,
A simulation study of the number of events per variable in logistic regression analysis, J Clin Epidemiol, vol.49, p.11, 1996. ,
Theoretical properties of the overlapping groups lasso, Electronic Journal of Statistics, vol.6, p.27, 2011. ,
A large-scale monte carlo study of the Buckley-James estimator with censored data, Journal of Statistical Computation and Simulation, vol.51, issue.2-4, p.86, 1995. ,
Fused lasso additive model, Journal of Computational and Graphical Statistics, vol.25, p.104, 2016. ,
Super learner analysis of electronic adherence data improves viral prediction and may provide strategies for selective HIV RNA monitoring, Journal of Acquired Immune Deficiency Syndromes, vol.69, p.95, 2016. ,
Confidence sets based on sparse estimators are necessarily large, Sankhya, vol.71, p.53, 2009. ,
Confidence sets based on penalized maximum likelihood estimators in Gaussian regression, Electron. J. Stat, vol.4, p.53, 2010. ,
Least absolute deviations estimation for the censored regression model, Journal of Econometrics, vol.25, p.85, 1984. ,
Censored regression quantiles, Journal of Econometrics, vol.32, p.85, 1986. ,
Validation and optimization of criteria for manual smear review following automated blood cell analysis in a large university hospital, Archives of Pathology & Laboratory Medicine, vol.137, issue.3, p.100, 2013. ,
Variable selection and prediction using a nested, matched case-control study : Application to hospital acquired pneumonia in stroke patients, Biometrics, vol.70, p.56, 2014. ,
Linking anonymous databases for national and international multicenter epidemiological studies : a cryptographic algorithm, Rev Epidemiol Sante Publique, vol.57, p.42, 2009. ,
R : A language and environment for statistical computing, R Foundation for Statistical Computing, 2017. ,
Accurate prediction of HIV-1 drug response from the reverse transcriptase and protease amino acid sequences using sparse models created by convex optimization, Bioinformatics, vol.22, issue.5, p.81, 2006. ,
Variable selection using adaptive nonlinear interaction structures in high dimensions, J. Am. Stat. Assoc, vol.105, p.51, 2010. ,
Surveying and comparing simultaneous sparse approximation (or grouplasso) algorithms, Signal Processing, vol.91, p.27, 2011. ,
On model selection, Lecture Notes-Monograph Series, p.14, 2001. ,
Regularization paths for conditional logistic regression : The clogitL1 package, Journal of Statistical Software, vol.58, issue.12, p.63, 2014. ,
A study of error variance estimation in lasso regression, Statistica Sinica, vol.30, p.53, 2016. ,
Genotypic predictos of human immunodeficiency cirus type 1 drug resistance, Proc Natl Acad Sci U S A, vol.103, issue.46, p.81, 2006. ,
Responsibility analysis : a methodology to study the effects of drugs in driving, Accid Anal Prev, vol.26, issue.2, p.44, 1994. ,
Phenotypic prediction based on metabolomic data : Lasso vs bolasso, primary data vs wavelet data, Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (WCGALP), p.31, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00658819
On change point detection using the fused lasso method, p.26, 2014. ,
Bayesian modeling strategies for risk analysis of home leisure and sport injuries (hlis), p.70, 2017. ,
MAVIE-Lab sports : a mHealth for injury prevention and risk management in sport, Proceeding of the 8th International Digital Health Conference, p.70, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01782964
Implementation of international slide review criteria for improving the efficiency of the haematology laboratory, Apollo Medicine, vol.7, p.100, 2010. ,
Big data and the electronic health record, Yearb Med Inform, vol.9, p.15, 2014. ,
Piecewise linear regularized solution paths, Ann. Statist, vol.35, issue.3, p.60, 2007. ,
A permutation approach for selecting the penalty parameter in penalized model selection, Biometrics, vol.71, p.30, 2015. ,
A review of feature selection techniques in bioinformatics, Bioinformatics, vol.23, p.16, 2007. ,
Mining complete blood count reports for disease discovery, In IJCSNS International Journal of Computer Science and Network Security, vol.18, p.101, 2018. ,
Designing a human t-lymphotropic virus type 1 (htlv-i) diagnostic model using the complete blood count, Iran J Basic Med Sci, vol.16, p.101, 2013. ,
On the practice of rescaling covariates, International Statistical Review, vol.76, p.51, 2008. ,
Penalized regression : Bootstrap confidence intervals and variable selection for highdimensional data sets, p.53, 2011. ,
Selection of important variables and determination of functional form for continuous predictors in multivariable model building, Stat. Med, vol.26, issue.13, pp.5512-5540, 2007. ,
Prediction consistency of lasso regression does not need normal errors, British Journal of Mathematics and Computer Science, vol.19, p.23, 2016. ,
Fast optimization methods for L1 regularization : A comparative study and two new approaches, European Conference on Machine Learning (ECML), p.56, 2007. ,
Variable selection for confounding adjustment in high-dimensional covariate spaces when analyzing healthcare databases, Epidemiology, vol.28, p.17, 2017. ,
Microarray gene expression data with linked survival phenotypes : Diffuse large-B-cell lymphoma revisited, Biostatistics, vol.7, p.61, 2006. ,
Prise en compte de la censure à gauche dans le modèle pénalisé : analyse de l'effet des mutations vih sur la réponse virologique aux thérapies antirétrovirales, Encadrement : M. Avalos, équipe Biostatistique, INSERM, 2010. ,
Données de santé : données sensibles, Revue "Statistique et société, vol.2, p.35, 2014. ,
Société française de statistique, Revue "Statistique et société, vol.3, p.35, 2015. ,
HIV-1 drug resistance mutations : an updated framework for the second decade of HAART, AIDS reviews, vol.10, issue.2, p.95, 1991. ,
Modelling interactions in high-dimensional data with backtracking, J. Mach. Learn. Res, vol.17, p.52, 2016. ,
Thresholding-based iterative selection procedures for model selection and shrinkage, The Electronic Journal of Statistics, vol.3, p.25, 2009. ,
Detecting disease-causing genes by lasso-patternsearch algorithm, BMC Proceedings, issue.1, p.29, 2007. ,
To explain or to predict ?, Statistical Science, vol.25, p.109, 2010. ,
Sparse estimation and inference for censored median regression, Journal of Statistical Planning and Inference, vol.140, p.95, 2010. ,
Using the censored gamma distribution for modeling fractional response variables with an application to loss given default, ASTIN Bulletin : The Journal of the International Actuarial Association, vol.41, issue.02, p.84, 2011. ,
Adjustment for unobserved confounders in health administrative databases, Proceeding of the 32nd International Conference on Pharmacoepidemiology & Therapeutic Risk Management, p.71, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01396349
A permutation approach to testing marginal interactions in many dimensions, p.51, 2012. ,
Regularization paths for Cox's proportional hazards model via coordinate descent, Journal of Statistical Software, vol.39, p.63, 2011. ,
A sparse-group lasso, Journal of Computational and Graphical Statistics, vol.22, issue.2, p.28, 2013. ,
Model selection of the effect of binary exposures over the life course, Epidemiology, vol.26, p.68, 2015. ,
A structured approach to hypotheses involving continuous exposures over the life course, International Journal of Epidemiology, vol.45, p.68, 2016. ,
Gradient lasso for Cox proportional hazards model, Bioinformatics, vol.25, p.61, 2009. ,
Lasso pour données censurées à gauche : une comparaison par simulation d'algorithmes proposés dans la littérature, 47èmes Journées de Statistique, vol.82, p.94, 2015. ,
Lasso-regularization for leftcensored outcome and high-dimensional predictors, p.94, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01945367
Lasso regularization for left-censored outcome and high-dimensional predictors, vol.82, p.94, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01945367
Régression pénalisée de type Lasso pour l'analyse de données cliniques de grande dimension : application à la charge virale du VIH censurée à gauche, aux données compositionnelles du microbiote et à l'expression génique longitudinale, vol.76, p.82, 2018. ,
Données longitudinales en grande dimension : état des lieux des packages R, Troisièmes rencontres R, p.111, 2014. ,
Méthodes d'apprentissage statistique pour des données longitudinales : une revue systématique, GdR Statistique et Santé, p.111, 2014. ,
High-dimensional compositional microbiota data : state-of-the-art of methods and software implementations, 2017-GDR " Statistiques et santé, p.111, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01667295
A simulation framework of high-dimensional phylogenetic microbiota data, 29th International Biometric Conference, p.111, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01856324
Direct effects testing : A two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response, Stat. Med, vol.29, p.53, 2010. ,
The case-time-control design, Epidemiology, vol.6, p.64, 1995. ,
Penalized logistic regression for high-dimensional DNA methylation data analysis with case-control studies, Bioinformatics, vol.28, p.63, 2012. ,
Network-based regularization for matched case-control analysis of highdimensional DNA methylation data, Stat. Med, vol.32, p.63, 2013. ,
Bias reduction in conditional logistic regression, Stat. Med, vol.30, p.55, 2011. ,
Sparse partial least squares with group and subgroup structure, Stat Med, vol.37, issue.23, p.111, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02134605
Selective inference for sparse high-order interaction models, Proceedings of the 34th Int. Conf. Mach. Learn.-ICML '17, vol.70, p.52, 2017. ,
Pénalités hiérarchiques pour l'ntégration de connaissances dans les modèles statistiques, p.27, 2008. ,
Estimation of alert and change limits of haematological quantities and its application in the plausibility control, EJIFCC, vol.25, p.106, 2014. ,
Post-selection inference for l1-penalized likelihood models, The Canadian Journal of Statistics, vol.46, p.53, 2018. ,
Vascular factors and risk of dementia : design of the three-city study and baseline characteristics of the study population, Neuroepidemiology, vol.22, p.71, 2003. ,
L'analyse des « big data » en recherche clinique, vol.62, p.73, 2014. ,
Sparse group selection on fused lasso components for identifying group-specific dna copy number variations, vol.28, pp.665-74 ,
Spatial smoothing and hot spot detection for CGH data using the fused lasso, Biostatistics, vol.9, p.26, 2008. ,
Sparsity and smoothness via the fused lasso, J. Roy. Statist. Soc. Ser. B, vol.67, p.26, 2005. ,
Recent advances in post-selection statistical inference, p.52, 2015. ,
Degrees of freedom in lasso problems, Ann. Statist, vol.40, p.30, 2012. ,
Regression shrinkage and selection via the Lasso, Journal of the Royal Statistical Society. Series B (Methodological), vol.52, p.83, 1996. ,
The Lasso method for variable selection in the Cox model, Statistics in Medicine, vol.16, p.81, 1997. ,
Estimation of relationships for limited dependent variables, Econometrica, vol.26, p.83, 1958. ,
Is size the next big thing in epidemiology ?, Epidemiology, vol.24, issue.15, pp.349-51, 2013. ,
Prédiction des accidents de la vie courante à partir de facteurs environnementaux et comportementaux : comparaison de méthodes d'apprentissage statistique adaptées aux données de l'observatoire mavie. Stage de Master 2 d'Ingénierie Mathématique à Toulouse (IMAT), Encadrement : M. Avalos et L. Orriols, équipe IETO de l'INSERM, 2015. ,
From big data to smart data for pharmacovigilance : The role of healthcare databases and other emerging sources, Drug Safety, vol.41, p.15, 2017. ,
FOIN : a nominative information occultation function, Stud Health Technol Inform, vol.43, p.42, 1997. ,
Generalized additive modelling with implicit variable selection by likelihood based boosting, Biometrics, vol.51, pp.961-971, 2006. ,
A note on automatic variable selection using smooth-threshold estimating equations, Biometrika, vol.81, p.93, 2009. ,
Evaluation of regression methods when immunological measurements are constrained by detection limits, BMC Immunology, vol.9, issue.1, p.93, 2008. ,
, The UNAIDS Reference Group on Estimates, Modelling and Projections, vol.74, p.75, 2018.
lodgwas : a software package for genome-wide association analysis of biomarkers with a limit of detection, Bioinformatics, vol.32, issue.10, p.94, 2016. ,
High-dimensional generalized linear models and the lasso, Ann. Statist, vol.36, issue.23, pp.614-645, 2008. ,
Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis, NeuroImage : Clinical, vol.13, p.82, 2017. ,
Asymptotic optimality of likelihood-based crossvalidation, Statistical Applications in Genetics and Molecular Biology, vol.3, p.30, 2004. ,
Data-driven hypotheses, EMBO Reports, vol.14, issue.11, p.13, 2013. ,
Cross-validated Cox regression on microarray gene expression data, Stat. Med, vol.25, p.30, 2006. ,
On model selection and model misspecification in causal inference, Stat Methods Med Res, vol.21, p.12, 2012. ,
Relaxing the rule of ten events per variable in logistic and cox regression, American Journal of Epidemiology, vol.165, issue.6, p.11, 2007. ,
Protection des données personnelles et recherche : constats et perspectives d'évolution. Revue "Statistique et société, vol.6, p.35, 2018. ,
Sharp thresholds for noisy and high-dimensional recovery of sparsity using L1-constrained quadratic programming (lasso), IEEE Transactions on Information Theory, vol.55, issue.23, p.2183, 2009. ,
Optimized application of penalized regression methods to diverse genomic data, Bioinformatics, vol.27, p.31, 2011. ,
Variable selection : Current practice in epidemiological studies, Eur J Epidemiol, vol.24, p.50, 2009. ,
Quantile regression in partially linear varying coefficient models, The Annals of Statistics, vol.37, issue.6B, p.80, 2009. ,
Variable selection for censored quantile regression, Statistica Sinica, vol.23, issue.1, p.95, 2013. ,
Controlling false discoveries in bayesian gene networks with lasso regression p-values, p.53, 2018. ,
Hierarchically penalized Cox regression with grouped variables, Biometrika, vol.96, p.61, 2009. ,
Future cases as present controls to adjust for exposure trend bias in case-only studies, Epidemiology, vol.22, p.64, 2011. ,
Doubly penalized Buckley-James method for survival data with high-dimensional covariates, Biometrics, vol.64, issue.1, p.86, 2008. ,
The Buckley-James estimator and induced smoothing, Australian & New Zealand Journal of Statistics, vol.58, issue.2, p.93, 2016. ,
Support vector hazards machine : A counting process framework for learning risk scores for censored outcomes, Journal of Machine Learning Research, vol.17, issue.167, p.81, 2016. ,
A LASSO-type approach to variable selection and estimation for censored regression model, Chinese Journal of Applied Probability and Statistics, vol.26, issue.1, p.81, 2010. ,
Buckley-James boosting for survival analysis with high-dimensional biomarker data, Statistical Applications in Genetics and Molecular Biology, vol.9, issue.1, p.93, 2010. ,
Package bujar : Buckley-James regression for survival data with high-dimensional covariates, p.89, 2015. ,
Consistent group selection in high-dimensional linear regression, Bernoulli, vol.16, p.27, 2010. ,
Cost-sensitive learning vs. sampling : Which is best for handling unbalanced classes with unequal error costs ? In DMIN, vol.104, pp.37-41, 2007. ,
update of the drug resistance mutations in HIV-1. Topics in antiviral medicine, vol.24, p.78, 2017. ,
, Injuries and violence : the facts, World Health Organization, vol.36, p.37, 2014.
, WHO. Global status report on road safety 2015, p.37, 2015.
Comparison of models for analyzing two-group, cross-sectional data with a gaussian outcome subject to a detection limit, Statistical Methods in Medical Research, vol.80, p.94, 2016. ,
Iterative reweighted l1 and l2 methods for finding sparse solutions, IEEE Journal of Selected Topics in Signal Processing (Special Issue on Compressive Sensing), vol.4, p.57, 2010. ,
Alternative methods to analyse the impact of HIV mutations on virological response to antiviral therapy, BMC Medical Research Methodology, vol.75, p.81, 2008. ,
URL : https://hal.archives-ouvertes.fr/inserm-00333577
Effects of transmitted drug resistance on virological and immunological response to initial combination antiretroviral therapy for HIV (euro-coord-chain joint project) : a european multicohort study, The Lancet infectious diseases, vol.11, issue.5, p.75, 2011. ,
Analyse statistique de l'impact des mutations génotypiques du VIH-1 sur la réponse virologique au traitement antirétroviral, p.76, 2010. ,
Current status and proposal of a guideline for manual slide review of automated complete blood cell count and white blood cell dfferential. The Korean journal of laboratory medicine, vol.30, p.100, 2010. ,
Analysis of high-dimensional longitudinal data from the french health-administrative databases using machine learning methods : the example of cesir's project in injury epidemiology, 4th International Conference on Big Data and Information Analytics, p.69, 2018. ,
A censored quantile regression approach for the analysis of time to event data, Statistical Methods in Medical Research, vol.27, issue.3, p.95, 2018. ,
Can the strengths of aic and bic be shared ? A conflict between model identification and regression estimation, Biometrika, vol.92, p.18, 2005. ,
Comparing learning methods for classification, Statist. Sinica, vol.16, p.30, 2006. ,
Consistency of cross validation for comparing regression procedures, Ann. Statist, vol.35, p.30, 2007. ,
On measuring and correcting the effects of data mining and model selection, Journal of the American Statistical Association, vol.93, p.30, 1998. ,
Cell phone use and crash risk : evidence for positive bias, Epidemiology, vol.23, issue.1, p.50, 2012. ,
Pseudosibship methods in the case-parents design, Stat. Med, vol.30, p.55, 2011. ,
A comparison of optimization methods and software for large-scale L1-regularized linear classification, Journal of Machine Learning Research, vol.11, p.62, 2010. ,
Efficient methods for overlapping group lasso, Advances in Neural Information Processing Systems, vol.24, p.27, 2011. ,
Model selection and estimation in regression with grouped variables, Journal of the Royal Statistical Society : Series B (Statistical Methodology), vol.68, p.27, 2006. ,
Bayesian tobit quantile regression model for medical expenditure panel survey data, Statistical Modelling, vol.12, issue.4, p.95, 2012. ,
Overlapping group logistic regression with applications to genetic pathway selection, Cancer Informatics, vol.15, p.27, 2016. ,
A lasso-type approach to variable selection and estimation for censored regression model, Chinese Journal of Applied Probability and Statistics, vol.26, issue.1, p.95, 2010. ,
Component selection and smoothing for noparametric regression in exponential families, Statistica Sinica, vol.16, pp.1021-1041, 2006. ,
Some sharp performance bounds for least squares regression with L1 regularization, Ann. Statist, vol.37, issue.23, pp.2109-2114, 2009. ,
On the consistency of feature selection with lasso for non-linear targets, 33rd International Conference on Machine Learning, ICML 2016, vol.1, pp.322-330, 2016. ,
On model selection consistency of lasso, Journal of Machine Learning Research, vol.7, issue.23, pp.2541-2563, 2006. ,
Topics in Causal and High Dimensional Inference, p.19, 2016. ,
The Dantzig selector for censored linear regression models, Statistica Sinica, vol.24, issue.1, p.86, 2014. ,
Sparse additive machine, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, vol.22, pp.1435-1443, 2012. ,
Modeling disease progression via fused sparse group lasso, vol.28, pp.1095-1103 ,
LAD-lasso variable selection for doubly censored median regression models, Communications in Statistics-Theory and Methods, vol.45, issue.12, p.95, 2013. ,
The adaptive lasso and its oracle properties, Journal of the American Statistical Association, vol.101, p.52, 2006. ,
On the degrees of freedom of the lasso, Ann. Statist, vol.35, p.30, 2007. ,
Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society : Series B (Statistical Methodology), vol.67, p.25, 2005. ,