| Robust Bayesian sample size determination in clinical trials P Brutti, F De Santis, S Gubbiotti Statistics in Medicine 27 (13), 2290-2306, 2008 | 92 | 2008 |
| Reference charts for fetal corpus callosum length: a prospective cross‐sectional study of 2950 fetuses P Cignini, F Padula, M Giorlandino, P Brutti, M Alfò, D Giannarelli, ... Journal of Ultrasound in Medicine 33 (6), 1065-1078, 2014 | 54 | 2014 |
| Bayesian-frequentist sample size determination: a game of two priors P Brutti, F De Santis, S Gubbiotti Metron 72, 133-151, 2014 | 28 | 2014 |
| Mixtures of prior distributions for predictive Bayesian sample size calculations in clinical trials P Brutti, F De Santis, S Gubbiotti Statistics in medicine 28 (17), 2185-2201, 2009 | 25 | 2009 |
| Reference charts for fetal cerebellar vermis height: a prospective cross-sectional study of 10605 fetuses P Cignini, M Giorlandino, P Brutti, L Mangiafico, A Aloisi, C Giorlandino PLoS One 11 (1), e0147528, 2016 | 23 | 2016 |
| Robust Bayesian sample size determination for avoiding the range of equivalence in clinical trials P Brutti, F De Santis Journal of statistical planning and inference 138 (6), 1577-1591, 2008 | 22* | 2008 |
| Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower E Sachini, N Karampekios, P Brutti, K Sioumalas-Christodoulou Scientometrics 125, 641-663, 2020 | 19 | 2020 |
| PCA‐based discrimination of partially observed functional data, with an application to AneuRisk65 data set M Stefanucci, LM Sangalli, P Brutti Statistica Neerlandica 72 (3), 246-264, 2018 | 18 | 2018 |
| An extension of the single threshold design for monitoring efficacy and safety in phase II clinical trials P Brutti, S Gubbiotti, V Sambucini Statistics in Medicine 30 (14), 1648-1664, 2011 | 14 | 2011 |
| Predictive measures of the conflict between frequentist and Bayesian estimators P Brutti, F De Santis, S Gubbiotti Journal of Statistical Planning and Inference 148, 111-122, 2014 | 11 | 2014 |
| Spike hunting in galaxy spectra P Brutti, C Genovese, CJ Miller, RC Nichol, L Wasserman Carnegie Mellon University, 2005 | 8 | 2005 |
| Supervised learning with indefinite topological kernels T Padellini, P Brutti arXiv preprint arXiv:1709.07100, 2017 | 6 | 2017 |
| Warped Wavelet and Vertical Thresholding P Brutti arXiv preprint arXiv:0801.3319, 2008 | 6 | 2008 |
| Speaker Recognition: a proposal for a meta-analysis based on hierarchical combination of classifiers P Brutti, F Fabi, G JONA LASINIO Statistica 3, 455-473, 2002 | 6* | 2002 |
| Supervised classification for link prediction in facebook ego networks with anonymized profile information R Giubilei, P Brutti Journal of Classification 39 (2), 302-325, 2022 | 4 | 2022 |
| Supervised learning with indefinite topological Kernels T Padellini, P Brutti Statistics 55 (4), 765-786, 2021 | 3 | 2021 |
| Persistence flamelets: Multiscale persistent homology for kernel density exploration T Padellini, P Brutti arXiv preprint arXiv:1709.07097, 2017 | 3 | 2017 |
| Variable bandwidth schemes for local polynomial smoothers via vertical wavelet thresholding. P Brutti, GJ Lasinio Bioinformatics, Images, and Wavelets, 119-121, 2004 | 3 | 2004 |
| Classification and regression energy tree with net-work predictors G Nespoli, P Brutti, R Giubilei Sapienza Università di Roma, 2019 | 2 | 2019 |
| Continuous endpoints in Bayesian two-stage designs P Brutti, F De Santis, S Gubbiotti, V Sambucini Journal of Biopharmaceutical Statistics 26 (5), 966-977, 2016 | 2 | 2016 |
Fulvio De SantisProfessore ordinario di Statistica, Università Sapienza Roma在 uniroma1.it 的电子邮件经过验证
