Antoine Chambaz

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	All	Since 2016
Citations	385	224
h-index	12	9
i10-index	14	9

2003200420052006200720082009201020112012201320142015201620172018201920202 1 5 1 2 8 14 20 20 23 15 25 20 27 22 83 42 50

Co-authors

Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerified email at berkeley.edu
Pierre NeuvialCNRS, Institut de Mathématiques de ToulouseVerified email at math.univ-toulouse.fr
Alex LuedtkeDepartment of Statistics, University of WashingtonVerified email at uw.edu
Cheng JuUniversity of California, BerkeleyVerified email at berkeley.edu
Alan HUBBARDDivision of Biostatistics, University of California, BerkeleyVerified email at berkeley.edu
Aurélien GarivierEcole Normale Supérieure de LyonVerified email at ens-lyon.fr
Samuel LendleUniversity of California, BerkeleyVerified email at berkeley.edu
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Jessica Myers FranklinDivision of Pharmacoepidemiology & Pharmacoeconomics, Brigham and Women's Hospital and HarvardVerified email at partners.org
Richard WyssBrigham and Women's Hospital/Harvard Medical SchoolVerified email at bwh.harvard.edu
Susan GruberPutnam Data Sciences, LLCVerified email at putnamds.com
Sebastian Schneeweiss, M.D., Sc.D.Professor of Medicine and Epidemiology, Harvard Medical SchoolVerified email at post.harvard.edu
Eric DenionOphthalmologist (consultant), Caen University Hospital, FranceVerified email at chu-caen.fr
Catherine MatiasCNRS, Université Pierre et Marie Curie, COSTNET CA15109Verified email at math.cnrs.fr
Guillaume DesagulierMoDyCo – Université Paris 8, CNRS, Université Paris NanterreVerified email at univ-paris8.fr
Michael RosenblumAssociate Professor of Biostatistics, Johns Hopkins UniversityVerified email at jhsph.edu
Pierre-Paul VIDALCNRSVerified email at parisdescartes.fr
Jean BouyerInsermVerified email at inserm.fr
Sherri RoseAssociate Professor, Stanford UniversityVerified email at stanford.edu

Antoine Chambaz

Professor of Statistics, MAP5, Université Paris Descartes

Verified email at parisdescartes.fr - Homepage

Semiparametrics reinforcement learning biostatistics


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A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification A Chambaz, A Garivier, E Gassiat Journal of Statistical Planning and Inference 139 (3), 962-977, 2009	40*	2009
Estimation of a non-parametric variable importance measure of a continuous exposure A Chambaz, P Neuvial, MJ van der Laan Electronic journal of statistics 6, 1059, 2012	34	2012
Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate: simulation study A Chambaz, MJ van der Laan The International Journal of Biostatistics 7 (1), 2011	31	2011
Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate: theoretical study A Chambaz, MJ van der Laan The International Journal of Biostatistics 7 (1), 1-32, 2011	31	2011
Bounds for Bayesian order identification with application to mixtures A Chambaz, J Rousseau The Annals of Statistics 36 (2), 938-962, 2008	27*	2008
Testing the order of a model A Chambaz The Annals of Statistics 34 (3), 1166-1203, 2006	24	2006
Inference in targeted group‐sequential covariate‐adjusted randomized clinical trials A Chambaz, MJ van der Laan Scandinavian Journal of Statistics 41 (1), 104-140, 2014	19	2014
Scalable collaborative targeted learning for high-dimensional data C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ... Statistical methods in medical research 28 (2), 532-554, 2019	18	2019
Control of neuronal persistent activity by voltage-dependent dendritic properties E Idoux, D Eugene, A Chambaz, C Magnani, JA White, LE Moore Journal of neurophysiology 100 (3), 1278-1286, 2008	17	2008
Big data and targeted machine learning in action to assist medical decision in the ICU R Pirracchio, MJ Cohen, I Malenica, J Cohen, A Chambaz, M Cannesson, ... Anaesthesia Critical Care & Pain Medicine 38 (4), 377-384, 2019	15	2019
Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate A Chambaz, M Van Der Laan	15	2011
Asymptotically optimal algorithms for multiple play bandits with partial feedback A Luedtke, E Kaufmann, A Chambaz	12*	2016
Targeted covariate-adjusted response-adaptive lasso-based randomized controlled trials A Chambaz, MJ van der Laan, W Zheng Modern Adaptive Randomized Clinical Trials: Statistical, Operational, and …, 2015	12	2015
Targeted sequential design for targeted learning inference of the optimal treatment rule and its mean reward A Chambaz, W Zheng, MJ van der Laan Annals of statistics 45 (6), 2537, 2017	10	2017
Causality, a trialogue A Chambaz, I Drouet, JC Thalabard Journal of Causal Inference 2 (2), 201-241, 2014	10	2014
Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case–control data A Chambaz, D Choudat, C Huber, JC Pairon, MJ Van der Laan Biostatistics 15 (2), 327-340, 2014	9*	2014
Number of hidden states and memory: a joint order estimation problem for Markov chains with Markov regime A Chambaz, C Matias ESAIM: Probability and Statistics 13, 38-50, 2009	9	2009
Faster rates for policy learning A Luedtke, A Chambaz arXiv preprint arXiv:1704.06431, 2017	8	2017
tmle. npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation A Chambaz, P Neuvial Bioinformatics 31 (18), 3054-3056, 2015	8	2015
Plica semilunaris temporal ectopia: evidence of primary nasal pterygia traction E Denion, A Chambaz, PH Dalens, J Petitbon, M Gérard Cornea 26 (7), 769-777, 2007	7	2007

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