Silvia Salini

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OBJECTIVE Few controlled studies have considered, in paediatric subjects, associations between Tourette's syndrome (TS) and psychiatric/behavioural disorders. We conducted a case-control study to verify the reproducibility of the few data published on this topic to date. METHOD Clinicians' impression (i.e. structured interviews and usual history taking),(More)
This work stems from the idea of describing the scientific productivity of Italian statisticians. There are several problems that must be addressed in achieving this goal:What data should be used? Have the data been cleaned?What techniques can be used?We propose the use ofmultiple sources andmultiplemetrics to get a complete information base. We check the(More)
When a research infrastructure is funded and implemented, new information<lb>and new publications are created. This new information is the measurable<lb>output of discovery process. In this paper, we describe the impact of infras-<lb>tructure for physics experiments in terms of publications and citations. In<lb>particular, we consider the Large Hadron(More)
BACKGROUND Available data about oxidative status in patients with end-stage renal disease (ESRD) or on dialysis are contradictory. The present cross-sectional study aimed to investigate the role of renal insufficiency and dialysis on lipid peroxidation. To separate the effects of uraemia from dialysis-induced stress, we enrolled 26 patients with renal(More)
The complexity and variety of bibliographic data is growing, and efforts to define new methodologies and techniques for bibliometric analysis are intensifying. In this complex scenario, one of the most crucial issues is the quality of data and the capability of bibliometric analysis to cope with multiple data dimensions. Although the problem of enforcing a(More)
A Bayesian Network is a probabilistic graphical model that represents a set of variables and their probabilistic dependencies. Formally, Bayesian Networks are directed acyclic graphs whose nodes represent variables, and whose arcs encode the conditional dependencies between the variables. Nodes can represent any kind of variable, be it a measured parameter,(More)
Association rules are one of the most popular unsupervised data mining methods. Once obtained, the list of association rules extractable from a given dataset is compared in order to evaluate their importance level. The measures commonly used to assess the strength of an association rule are the indexes of support, confidence, and lift. Relative Linkage(More)
The opinions expressed in this paper do not necessarily reflect the position of Summary This paper provides a comparative analysis of statistical methods to evaluate the consumer perception about the quality of Services of General Interest. The evaluation of the service quality perceived by users is usually based on Customer Satisfaction Survey data and an(More)
BACKGROUND To date only three studies, all lacking a control group, have investigated the personality style underlying tic disorders or Tourette's syndrome (TS), using the projective Rorschach test. Despite the recent controversy about its proper use in clinical practice and research, the Rorschach test may be useful to explore personality organization in(More)
In this paper two different non-classic methods, based on the analysis of qualitative data, are applied to evaluate customer satisfaction. The airline industry is considered with British Airways used as a case study. First, a classification algorithm based on the decision tree theory is performed. By conserving the original ordinal measuring scale for the(More)