| Estimation of extended mixed models using latent classes and latent processes: the R package lcmm C Proust-Lima, V Philipps, B Liquet arXiv preprint arXiv:1503.00890, 2015 | 410 | 2015 |
| ClustOfVar: An R package for the clustering of variables M Chavent, V Kuentz, B Liquet, L Saracco arXiv preprint arXiv:1112.0295, 2011 | 255 | 2011 |
| Deciphering the complex: Methodological overview of statistical models to derive OMICS‐based biomarkers M Chadeau‐Hyam, G Campanella, T Jombart, L Bottolo, L Portengen, ... Environmental and molecular mutagenesis 54 (7), 542-557, 2013 | 122 | 2013 |
| Breast cancer risk, nightwork, and circadian clock gene polymorphisms T Truong, B Liquet, F Menegaux, S Plancoulaine, P Laurent-Puig, C Mulot, ... Endocrine-related cancer 21 (4), 629-638, 2014 | 119 | 2014 |
| Handling missing values with regularized iterative multiple correspondence analysis J Josse, M Chavent, B Liquet, F Husson Journal of classification 29 (1), 91-116, 2012 | 117 | 2012 |
| A novel approach for biomarker selection and the integration of repeated measures experiments from two assays B Liquet, KAL Cao, H Hocini, R Thiébaut BMC bioinformatics 13 (1), 1-14, 2012 | 108 | 2012 |
| mixOmics: omics data integration project KA Le Cao, F Rohart, I Gonzalez, S Dejean, B Gautier, F Bartolo, ... R package version 6 (1), 2016 | 89 | 2016 |
| Choice between semi‐parametric estimators of Markov and non‐Markov multi‐state models from coarsened observations D Commenges, P Joly, A Gégout‐Petit, B Liquet Scandinavian Journal of Statistics 34 (1), 33-52, 2007 | 79 | 2007 |
| Investigating trial and treatment heterogeneity in an individual patient data meta‐analysis of survival data by means of the penalized maximum likelihood approach V Rondeau, S Michiels, B Liquet, JP Pignon Statistics in medicine 27 (11), 1894-1910, 2008 | 68 | 2008 |
| Group and sparse group partial least square approaches applied in genomics context B Liquet, PL De Micheaux, BP Hejblum, R Thiébaut Bioinformatics 32 (1), 35-42, 2016 | 66 | 2016 |
| GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm L Bottolo, M Chadeau-Hyam, DI Hastie, T Zeller, B Liquet, P Newcombe, ... PLoS genetics 9 (8), e1003657, 2013 | 63 | 2013 |
| Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat T Cenier, C Amat, P Litaudon, S Garcia, P Lafaye de Micheaux, B Liquet, ... European Journal of Neuroscience 27 (6), 1432-1440, 2008 | 49 | 2008 |
| The R software PL de Micheaux, R Drouilhet, B Liquet Springer. New York, 2013 | 48 | 2013 |
| A sliced inverse regression approach for data stream M Chavent, S Girard, V Kuentz-Simonet, B Liquet, TMN Nguyen, ... Computational Statistics 29 (5), 1129-1152, 2014 | 40 | 2014 |
| Understanding convergence concepts: A visual-minded and graphical simulation-based approach P Lafaye de Micheaux, B Liquet The American Statistician 63 (2), 173-178, 2009 | 39 | 2009 |
| Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback–Leibler risks D Commenges, B Liquet, C Proust‐Lima Biometrics 68 (2), 380-387, 2012 | 38 | 2012 |
| Investigating hospital heterogeneity with a multi-state frailty model: application to nosocomial pneumonia disease in intensive care units B Liquet, JF Timsit, V Rondeau BMC medical research methodology 12 (1), 1-14, 2012 | 36 | 2012 |
| Le logiciel R: maîtriser le langage, effectuer des analyses (bio) statistiques PL De Micheaux, R Drouilhet, B Liquet, Y DODGE Springer, 2014 | 34 | 2014 |
| A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches B Liquet, J Saracco Computational Statistics 27 (1), 103-125, 2012 | 34 | 2012 |
| Forecasting intensifying disturbance effects on coral reefs J Vercelloni, B Liquet, EV Kennedy, M González‐Rivero, MJ Caley, ... Global change biology 26 (5), 2785-2797, 2020 | 33 | 2020 |
