| lme4: Linear mixed-effects models using'Eigen'and S4 D Bates, M Maechler, B Bolker, S Walker (No Title), 2003 | 18052 | 2003 |
| Linear mixed-effects models using Eigen and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... R package version 1 (7), 1-23, 2014 | 4140 | 2014 |
| Package ‘lme4’ D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... convergence 12 (1), 2, 2015 | 3226 | 2015 |
| gamm4: Generalized additive mixed models using mgcv and lme4. S Wood R Packag. version 0.2-3, 2014 | 848 | 2014 |
| lme4: linear mixed-effects models using Eigen and S4. R package version 1.1-12 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... Computer software, 2014 | 754 | 2014 |
| Predictors of severe systemic anaphylactic reactions in patients with Hymenoptera venom allergy: importance of baseline serum tryptase—a study of the European Academy of … F Ruëff, B Przybilla, MB Biló, U Müller, F Scheipl, W Aberer, J Birnbaum, ... Journal of Allergy and Clinical Immunology 124 (5), 1047-1054, 2009 | 549 | 2009 |
| Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models F Scheipl, S Greven, H Küchenhoff Computational statistics & data analysis 52 (7), 3283-3299, 2008 | 382 | 2008 |
| Thrombus histology suggests cardioembolic cause in cryptogenic stroke T Boeckh-Behrens, JF Kleine, C Zimmer, F Neff, F Scheipl, J Pelisek, ... Stroke 47 (7), 1864-1871, 2016 | 326 | 2016 |
| Functional additive mixed models F Scheipl, AM Staicu, S Greven Journal of Computational and Graphical Statistics 24 (2), 477-501, 2015 | 323 | 2015 |
| mboost: Model-based boosting T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner R package version 2, 9-1, 2012 | 297 | 2012 |
| Functional generalized additive models MW McLean, G Hooker, AM Staicu, F Scheipl, D Ruppert Journal of Computational and Graphical Statistics 23 (1), 249-269, 2014 | 246 | 2014 |
| Fear-related behaviour of dogs in veterinary practice D Döring, A Roscher, F Scheipl, H Küchenhoff, MH Erhard The Veterinary Journal 182 (1), 38-43, 2009 | 240 | 2009 |
| Straightforward intermediate rank tensor product smoothing in mixed models SN Wood, F Scheipl, JJ Faraway Statistics and Computing 23 (3), 341-360, 2013 | 235 | 2013 |
| Predictors of side effects during the buildup phase of venom immunotherapy for Hymenoptera venom allergy: the importance of baseline serum tryptase F Ruëff, B Przybilla, MB Biló, U Müller, F Scheipl, W Aberer, J Birnbaum, ... Journal of Allergy and Clinical Immunology 126 (1), 105-111. e5, 2010 | 225 | 2010 |
| A penalized framework for distributed lag non-linear models A Gasparrini, F Scheipl, B Armstrong, MG Kenward Biometrics 73 (3), 938-948, 2017 | 217 | 2017 |
| Refund: Regression with functional data J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... R package version 0.1-16 572, 2016 | 198 | 2016 |
| Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models F Scheipl, L Fahrmeir, T Kneib Journal of the American Statistical Association 107 (500), 1518-1532, 2012 | 187 | 2012 |
| Penalized function-on-function regression AE Ivanescu, AM Staicu, F Scheipl, S Greven Computational Statistics 30 (2), 539-568, 2015 | 184 | 2015 |
| A general framework for functional regression modelling S Greven, F Scheipl Statistical Modelling 17 (1-2), 1-35, 2017 | 176 | 2017 |
| spikeSlabGAM: Bayesian variable selection, model choice and regularization for generalized additive mixed models in R F Scheipl Journal of statistical software 43, 1-24, 2011 | 169 | 2011 |
Martin MächlerAdjunct Professor, ETH ZurichVerified email at stat.math.ethz.ch
