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Dive into the research topics where Giovanni Boscaino is active.

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Featured researches published by Giovanni Boscaino.


International Journal of Surgery | 2015

Breast cancer subtypes can be determinant in the decision making process to avoid surgical axillary staging: A retrospective cohort study

Antonio Marrazzo; Giovanni Boscaino; Emilia Marrazzo; Pietra Taormina; Antonio Toesca

INTRODUCTION The need for performing axillary lymph-node dissection in early breast cancer when the sentinel lymph node (SLN) is positive has been questioned in recent years. The purpose of this study was to identify a low-risk subgroup of early breast cancer patients in whom surgical axillary staging could be avoided, and to assess the probability of having a positive lymph-node (LN). METHODS We evaluated the cohort of 612 consecutive women affected by early breast cancer. We considered age, tumor size, histological grade, vascular invasion, lymphatic invasion and cancer subtype (Luminal A, Luminal B HER-2+, Luminal B HER-2-, HER-2+, and Triple Negative) as variables for univariate and multivariate analyses to assess probability of there being a positive SLN o nonsentinel lymph node (NSLN). Chi-square, Fishers Exact test and Students t tests were used to investigate the relationship between variables; whereas logit models were used to estimate and quantify the strength of the relationship among some covariates and SLN or the number of metastases. RESULTS A significant positive effect of vascular invasion and lymphatic invasion (odds ratios are 4 and 6), and a negative effect of TN (odds ratios is 10) were noted. With respect to positive NSLN, size alone has a significant (positive) effect on tumor presence, but focusing on the number of metastases, also age has a (negative) significant effect. CONCLUSION This work shows correlation between subtypes and the probability of having positive SLN. Patients not expressing vascular invasion, lymphatic invasion and, moreover, a triple-negative tumor subtype may be good candidates for breast conservative surgery without axillary surgical staging.


Journal of Applied Statistics | 2016

Degree course change and student performance: a mixed-effect model approach

Giada Adelfio; Giovanni Boscaino

This paper focuses on students credits earning speed over time and its determinants, dealing with the huge percentage of students who do not take the degree within the legal duration in the Italian University System. A new indicator for the performance of the student career is proposed on real data, concerning the cohort of students enrolled at a Faculty of the University of Palermo (followed for 7 years). The new indicator highlights a typical zero-inflated distribution and suggests to investigate the effect of the degree course (DC) change on the student career. A mixed-effect model for overdispersed data is considered, with the aim of taking into account the individual variability as well, due to the longitudinal nature of data. Results show the significant positive effect of the DC change on the student performance.


Statistical Models for Data Analysis | 2013

Can the Students’ Career be Helpful in Predicting an Increase in Universities Income?

Massimo Attanasio; Giovanni Boscaino; Vincenza Capursi; Antonella Plaia

The students’ academic failure and the delay in obtaining their final degree are a significant issue for the Italian universities and their stakeholders. Based on indicators proposed by the Italian Ministry of University, the Italian universities are awarded a financial incentive if they reduce the students’ attrition and failure. In this paper we analyze the students’ careers performance using: (1) aggregate data; (2) individual data. The first compares the performances of the Italian universities using the measures and the indicators proposed by the Ministry. The second analyzes the students’ careers through an indicator based on credit earned by each student in seven academic years. The primary goal of this paper is to highlight elements that can be used by the policy makers to improve the careers of the university students.


Higher Education | 2015

Erratum to: A new indicator for higher education student performance

Giada Adelfio; Giovanni Boscaino; Vincenza Capursi


Archive | 2013

The student talent in a random effects Quantile Regression Model for university performance

Giada Adelfio; Giovanni Boscaino


Archive | 2007

LA "SOFFERENZA FORMATIVA": UN'ANALISI PER COORTE DI IMMATRICOLATI

Vincenza Capursi; Francesca Giambona; Giovanni Boscaino; Boscaino G; Capursi; Giambona F


49th Scientific meeting of the Italian Statistical Society | 2018

A distribution curves comparison approach to analyze the university moving students performance

Giovanni Boscaino; Giada Adelfio; Gianluca Sottile


Archive | 2017

University student talent: the real driver for performance?

Giovanni Boscaino; Giada Adelfio


48th scientific meeting of the Italian Statistical Society | 2016

Further considerations on a new indicator for higher education student performance

Giada Adelfio; Giovanni Boscaino; Vincenza Capursi


Giornate di Studio sulla Popolazione 2015 | 2014

University student talent: a latent driver for performance

Giovanni Boscaino; Giada Adelfio

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