| Fertility intentions and outcomes: Implementing the theory of planned behavior with graphical models L Mencarini, D Vignoli, A Gottard Advances in life course research 23, 14-28, 2015 | 131 | 2015 |
| Varying uncertainty in CUB models A Gottard, M Iannario, D Piccolo Advances in Data Analysis and Classification 10, 225-244, 2016 | 46 | 2016 |
| A little elastic for a better performance: kinesiotaping of the motor effector modulates neural mechanisms for rhythmic movements R Bravi, E Quarta, EJ Cohen, A Gottard, D Minciacchi Frontiers in systems neuroscience 8, 181, 2014 | 45 | 2014 |
| Prevalence of HCV infection among health care workers in a hospital in central Italy C Catalani, A Biggeri, A Gottard, M Benvenuti, E Frati, C Cecchini European journal of epidemiology 19, 73-77, 2004 | 40 | 2004 |
| Nonconservative exact small-sample inference for discrete data A Agresti, A Gottard Computational statistics & Data analysis 51 (12), 6447-6458, 2007 | 39 | 2007 |
| Comment: Randomized confidence intervals and the mid-p approach A Agresti, A Gottard Statistical Science 20 (4), 367-371, 2005 | 31 | 2005 |
| When non-dominant is better than dominant: Kinesiotape modulates asymmetries in timed performance during a synchronization-continuation task R Bravi, EJ Cohen, A Martinelli, A Gottard, D Minciacchi Frontiers in integrative neuroscience 11, 21, 2017 | 23 | 2017 |
| He Elationship Between Education and Fertility in the Presence of a Time Varying Frailty Component A Gottard, A Mattei, D Vignoli Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015 | 18 | 2015 |
| A note on the interpretation of tree‐based regression models A Gottard, G Vannucci, GM Marchetti Biometrical Journal 62 (6), 1564-1573, 2020 | 15 | 2020 |
| Hierarchical marginal models with latent uncertainty R Colombi, S Giordano, A Gottard, M Iannario Scandinavian Journal of Statistics 46 (2), 595-620, 2019 | 13 | 2019 |
| Robust concentration graph model selection A Gottard, S Pacillo Computational statistics & data analysis 54 (12), 3070-3079, 2010 | 13 | 2010 |
| On the inclusion of bivariate marked point processes in graphical models A Gottard Metrika 66 (3), 269-287, 2007 | 13 | 2007 |
| Independence in multi-way contingency tables: SN Roy's breakthroughs and later developments A Agresti, A Gottard Journal of statistical planning and inference 137 (11), 3216-3226, 2007 | 13 | 2007 |
| Chain graphs for multilevel models A Gottard, C Rampichini Statistics & probability letters 77 (3), 312-318, 2007 | 11 | 2007 |
| Quasi‐Symmetric Graphical Log‐Linear Models A Gottard, GM Marchetti, A Agresti Scandinavian journal of statistics 38 (3), 447-465, 2011 | 10 | 2011 |
| Mixed-effect models with trees A Gottard, G Vannucci, L Grilli, C Rampichini Advances in Data Analysis and Classification 17 (2), 431-461, 2023 | 9 | 2023 |
| A chain graph multilevel model for the analysis of graduates’ employment A Gottard, L Grilli, C Rampichini Effectiveness of University Education in Italy: Employability, Competences …, 2007 | 7 | 2007 |
| Generalised quasi‐symmetry models for ordinal contingency tables M Kateri, A Gottard, C Tarantola Australian & New Zealand Journal of Statistics 59 (3), 239-253, 2017 | 6 | 2017 |
| Reducing conservatism of exact small-sample methods of inference for discrete data A Agresti, A Gottard Compstat 2006-Proceedings in Computational Statistics: 17th Symposium Held …, 2006 | 6 | 2006 |
| A Bayesian approach to model interdependent event histories by graphical models E Dreassi, A Gottard Statistical Methods and Applications 16, 39-49, 2007 | 5 | 2007 |