Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Marialuisa Restaino"'
Autor:
Roberto Erro, Giulia Lazzeri, Angelo Fabio Gigante, Andrea Pilotto, Luca Magistrelli, Matteo Bologna, Carmen Terranova, Enrica Olivola, Carlo Dallocchio, Vincenzo Moschella, Francesca Valentino, Francesca Di Biasio, Alessandra Nicoletti, Rosa De Micco, Livia Brusa, Cristiano Sorrentino, Angela Matinella, Salvatore Bertino, Giulia Paparella, Nicola Modugno, Elena Contaldi, Alessandro Padovani, Alessio Di Fonzo, Marialuisa Restaino, Paolo Barone, TITAN study group, Giulia Franco, Anna De Rosa, Lazzaro di Biase, Marcello Esposito, Maria Chiara Malaguti, Raffaella Di Giacopo, Roberto Ceravolo, Francesca Spagnolo, Marta Bianchi, Roberta Vitaliani, Laura Maria Raglione, Francesca Morgante
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
BackgroundTo date, there are no large studies delineating the clinical correlates of “pure” essential tremor (ET) according to its new definition.MethodsFrom the ITAlian tremor Network (TITAN) database, we extracted data from patients with a diag
Externí odkaz:
https://doaj.org/article/675768f390fe47efbb34d69ec90f6196
Publikováno v:
Global Economic Observer, Vol 1, Iss 2, Pp 131-142 (2013)
The paper presents a competing-risks approach for investigating the determinants of corporate financial distress. In particular a comparative analysis of three European markets-France, Italy and Spain–is performed in order to find out the similarit
Externí odkaz:
https://doaj.org/article/1c4bdbf0c35c4299a5d84fda45f9c667
Publikováno v:
Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 9783030996376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::527690ded9c8aa872fdf585ed3b8ec8f
http://hdl.handle.net/11386/4782645
http://hdl.handle.net/11386/4782645
Publikováno v:
J Appl Stat
Journal of Applied Statistics, Vol. 49, no. 16, p. 4162-4180 (2022)
Journal of Applied Statistics, Vol. 49, no. 16, p. 4162-4180 (2022)
Several commercial banks in the United States disappeared during the last decades due to failure or acquisition by another entity. From a survival analysis perspective, however, the high censoring rate suggests that some institutions are likely to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5adfdf7dd958026a7b8db5edd8d8cb5e
https://europepmc.org/articles/PMC9639486/
https://europepmc.org/articles/PMC9639486/
Publikováno v:
Statistical Learning and Modeling in Data Analysis ISBN: 9783030699437
The present contribution aims at exploring the Erasmus student mobility flows across European countries given the relevant role played by the internationalisation process in the implementation of university policies. In particular, the main purpose i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af83ed1cf3d721b2ddc8c269e21d12a
http://hdl.handle.net/11386/4767426
http://hdl.handle.net/11386/4767426
The COVID-19 pandemic has affected all countries in the world and brings a major disruption in our daily lives. Estimation of the prevalence and contagiousness of COVID-19 infections may be challenging due to under-reporting of infected cases. For a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c7d1f948059679bd402789b3defe0ec
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliabili
This paper proposes a new method to select the most relevant covariates for predicting bank defaults. In particular, as bank failure is a rare event, we estimate the probability of default of finan...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2463d0ff9e4d33fdef0eda9f8af363f8
http://hdl.handle.net/11386/4737596
http://hdl.handle.net/11386/4737596