| Cardiovascular events during World Cup soccer U Wilbert-Lampen, D Leistner, S Greven, T Pohl, S Sper, C Völker, ... New England Journal of Medicine 358 (5), 475-483, 2008 | 541 | 2008 |
| Air pollution and inflammation (interleukin-6, C-reactive protein, fibrinogen) in myocardial infarction survivors R Rückerl, S Greven, P Ljungman, P Aalto, C Antoniades, T Bellander, ... Environmental health perspectives 115 (7), 1072-1080, 2007 | 364 | 2007 |
| 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 | 348 | 2008 |
| On the behaviour of marginal and conditional AIC in linear mixed models S Greven, T Kneib Biometrika 97 (4), 773-789, 2010 | 309 | 2010 |
| Multivariate functional principal component analysis for data observed on different (dimensional) domains C Happ, S Greven Journal of the American Statistical Association 113 (522), 649-659, 2018 | 281 | 2018 |
| Functional additive mixed models F Scheipl, AM Staicu, S Greven Journal of Computational and Graphical Statistics 24 (2), 477-501, 2015 | 226 | 2015 |
| Longitudinal functional principal component analysis S Greven, C Crainiceanu, B Caffo, D Reich Recent advances in functional data analysis and related topics, 149-154, 2011 | 215 | 2011 |
| Restricted likelihood ratio testing for zero variance components in linear mixed models S Greven, CM Crainiceanu, H Küchenhoff, A Peters Journal of Computational and Graphical Statistics 17 (4), 870-891, 2008 | 165 | 2008 |
| Corrected confidence bands for functional data using principal components J Goldsmith, S Greven, C Crainiceanu Biometrics 69 (1), 41-51, 2013 | 147 | 2013 |
| Penalized function-on-function regression AE Ivanescu, AM Staicu, F Scheipl, S Greven Computational Statistics 30, 539-568, 2015 | 136 | 2015 |
| A general framework for functional regression modelling S Greven, F Scheipl Statistical Modelling 17 (1-2), 1-35, 2017 | 102 | 2017 |
| Conditional model selection in mixed-effects models with cAIC4 B Säfken, D Rügamer, T Kneib, S Greven arXiv preprint arXiv:1803.05664, 2018 | 79 | 2018 |
| An approach to the estimation of chronic air pollution effects using spatio-temporal information S Greven, F Dominici, S Zeger Journal of the American Statistical Association 106 (494), 396-406, 2011 | 76 | 2011 |
| refund: Regression with functional data C Crainiceanu, P Reiss, J Goldsmith, L Huang, L Huo, F Scheipl, ... R package version 0.1-6, 2012 | 75 | 2012 |
| Common genetic polymorphisms and haplotypes of fibrinogen alpha, beta, and gamma chains affect fibrinogen levels and the response to proinflammatory stimulation in myocardial … B Jacquemin, C Antoniades, F Nyberg, E Plana, M Müller, S Greven, ... Journal of the American College of Cardiology 52 (11), 941-952, 2008 | 73 | 2008 |
| A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models B Saefken, T Kneib, CS van Waveren, S Greven | 65 | 2014 |
| DNA variants, plasma levels and variability of C-reactive protein in myocardial infarction survivors: results from the AIRGENE study M Kolz, W Koenig, M Müller, M Andreani, S Greven, T Illig, N Khuseyinova, ... European heart journal 29 (10), 1250-1258, 2008 | 64 | 2008 |
| Structured functional principal component analysis H Shou, V Zipunnikov, CM Crainiceanu, S Greven Biometrics 71 (1), 247-257, 2015 | 62 | 2015 |
| Longitudinal scalar-on-functions regression with application to tractography data J Gertheiss, J Goldsmith, C Crainiceanu, S Greven Biostatistics 14 (3), 447-461, 2013 | 60 | 2013 |
| Generalized functional additive mixed models F Scheipl, J Gertheiss, S Greven | 58 | 2016 |
Fabian ScheiplLMU Munich / Munich Center for Machine LearningVerified email at stat.uni-muenchen.de
