3,729 research outputs found
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients
No full textIn this work we analyse the relationship among in-hospital mortality and a treatment effectiveness outcome in patients affected by ST-Elevation myocardial infarction. The main idea is to carry out a joint modeling of the two outcomes applying a Semiparametric Bivariate Probit Model to data arising from a clinical registry called STEMI Archive. A realistic quantification of the relationship between outcomes can be problematic for several reasons. First, latent factors associated with hospitals organization can affect the treatment efficacy and/or interact with patient’s condition at admission time. Moreover, they can also directly influence the mortality outcome. Such factors can be hardly measurable. Thus, the use of classical estimation methods will clearly result in inconsistent or biased parameter estimates. Secondly, covariate-outcomes relationships can exhibit nonlinear patterns. Provided that proper statistical methods for model fitting in such framework are available, it is possible to employ a simultaneous estimation approach to account for unobservable confounders. Such a framework can also provide flexible covariate structures and model the whole conditional distribution of the response
Editorial IPRD06
No full textEditorial dei Proceedings del 10th Topical Seminar on Innovative Particle and Radiation Detectors (IPRD06) 1 - 5 October 2006 Siena, Ital
Editorial
No full textEditoriale dei Proceedings del 9th Topical Seminar on Innovative Particle and Radiation Detectors 23 - 26 May 2004 Siena, Ital
Framing Big Data : A Linguistic and Discursive Approach
No full textThis volume addresses big data as a socio-technical construct with huge potential for innovation in key sectors such as healthcare, government and business. Big data and its increasingly widespread use in such influential spheres can generate ethically controversial decisions, including questions surrounding privacy, consent and accountability. The research attempts to unpack the epistemological implications of the term ‘big data’, as well as the opportunities and responsibilities which come with it. The author analyses the linguistic texture of the big data narrative in the news media, in healthcare and in EU law on data protection, in order to contribute to its understanding from the critical perspective of language studies
Discussion of “multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert
No full textThis paper aims at discussing the interesting paper of Hubert et al. (2015), where a taxonomy of functional outliers and both numerical and graphical techniques for outlier detection for multivariate functional data are proposed. The reading has been really pleasant and instructive. We contribute to the discussion of the paper by Hubert et al. (2015), by discussing some points related to the extension of depth measures to the multivariate functional framework, by examining the fine line between outlier detection and classification and finally by pointing out some relevant open problems
DICOEN 2009 : fifth International Conference on Discourse, Communication and the Enterprise : conference proceedings.
No full textThe book contains a foreword by the two editors, followed by the collection of the sixty-three abstracts submitted to the Fifth International Conference on Discourse, Communication and the Enterprise (DICOEN V), Milan, 24-26 September 2009
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