Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Maura Mezzetti"'
Autor:
Maura Mezzetti, Colleen P. Ryan, Priscilla Balestrucci, Francesco Lacquaniti, Alessandro Moscatelli
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
Our previous articles demonstrated how to analyze psychophysical data from a group of participants using generalized linear mixed models (GLMM) and two-level methods. The aim of this article is to revisit hierarchical models in a Bayesian framework.
Externí odkaz:
https://doaj.org/article/015ef42a518d4b698e1dcc01988a81ea
Autor:
Domenico Angilecchia, Maura Mezzetti, Alessandro Chiarotto, Antonella Daugenti, Giuseppe Giovannico, Francesca Bonetti
Publikováno v:
BMC Musculoskeletal Disorders, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background Valid and reliable patient-reported outcome measures support health professionals in evaluating the results of clinical research and practice. The Copenhagen Neck Functional Disability Scale (CNFDS) has shown promising measurement
Externí odkaz:
https://doaj.org/article/a8dfe5ae9e844a7b9224c52738e833eb
Autor:
Francesca Ceccarelli, Barbara La Scaleia, Marta Russo, Benedetta Cesqui, Silvio Gravano, Maura Mezzetti, Alessandro Moscatelli, Andrea d’Avella, Francesco Lacquaniti, Myrka Zago
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
People easily intercept a ball rolling down an incline, despite its acceleration varies with the slope in a complex manner. Apparently, however, they are poor at detecting anomalies when asked to judge artificial animations of descending motion. Sinc
Externí odkaz:
https://doaj.org/article/9c81f1f9be3b4464920bfccfd2a12ba8
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0119445 (2015)
In ball sports, it is usually acknowledged that expert athletes track the ball more accurately than novices. However, there is also evidence that keeping the eyes on the ball is not always necessary for interception. Here we aimed at gaining new insi
Externí odkaz:
https://doaj.org/article/722cbb8922fd494b9c91b571cc4de59e
Autor:
Silvia Francisci, K. Robin Yabroff, Anna Gigli, Angela Mariotto, Maura Mezzetti, Joseph Lipscomb
Publikováno v:
Annali dell'Istituto Superiore di Sanità, Vol 49, Iss 1, Pp 73-78
OBJECTIVES. Cancer accounts for a major proportion of national health expenditures, which are expected to increase in the future. This paper aims to identify major challenges with estimating cancer related costs, and discuss international comparisons
Externí odkaz:
https://doaj.org/article/7ebd527342f541f8834a11690fb53133
Publikováno v:
Statistical Methods & Applications. 31:1245-1271
The first objective of the paper is to implement a two stage Bayesian hierarchical nonlinear model for growth and learning curves, particular cases of longitudinal data with an underlying nonlinear time dependence. The aim is to model simultaneously
Publikováno v:
Poster Presentations.
Autor:
Demetrio Milardi, Giuseppe Acri, Paolo De Pasquale, Maura Mezzetti, Andrea d'Avella, Daniele Borzelli, Denise J. Berger, Sergio Gurgone
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030703158
Myoelectric control of an isometric reaching task in a virtual environment allows to investigate motor adaptation after simulating a perturbation of the muscle pulling directions (virtual surgeries). Such perturbations can be compatible or incompatib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c10a6621934f372b91a5829e3103268
https://doi.org/10.1007/978-3-030-70316-5_90
https://doi.org/10.1007/978-3-030-70316-5_90
Autor:
Maura Mezzetti, Samantha Leorato
Publikováno v:
Bayesian Analysis. 16
A hierarchical Bayesian factor model for multivariate spatially and temporally correlated data is proposed. This method searches factor scores incorporating a dependence within observations due to both a geographical and a temporal structure and it i
Publikováno v:
Stat Med
Quantifying socio-economic disparities and understanding the roots of inequalities are growing topics in cancer research, however socio-economic differences are challenging to investigate mainly due to the lack of accurate data at individual-level, w