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Rubrica

Personale Strutture

Qualifica

Professoressa Ordinaria

Indirizzo

VIA CESARE BATTISTI, 241/243 - PADOVA

Telefono

0498274162

Avvisi

Metodi statistici per la sperimentazione clinica

Link Zoom lezione del 5 ottobre 2020 ore 8.30

https://unipd.zoom.us/j/82211180763

Orari di ricevimento

  • Il Venerdi' dalle 9:30 alle 12:30
    presso Zoom
    Gli studenti sono invitati a contattarmi via e-mail per avere il link zoom

Pubblicazioni

***Articoli su riviste internazionali***
[1] Capizzi, G. e Masarotto, G. (2017) Phase I distribution-free analysis of multivariate data. Technometrics, 59, pp. 484–495.
[2] Capizzi, G. (2016) Discussion of “Statistical process monitoring of time-dependent data”. Quality Engineering, 28, pp. 146–150.
[3] Capizzi, G. e Masarotto, G. (2016) Efficient control chart calibration by simulated stochastic approximation. IIE Transactions, 48, pp. 57–65.
[4] Capizzi, G. (2015) Recent advances in process monitoring: Nonparametric and variable-selection methods for Phase I and Phase II (with discussion). Quality Engineering, 27, pp. 44–80.
[5] Bisiacchi, P., Cona, G., Tarantino, V., Schiff, S., Montagnese, S., Amodio, P., e Capizzi,
G. (2014) Assessing inter- and intra-individual cognitive variability in patients at risk for cognitive impairment: the case of minimal hepatic encephalopathy. Metabolic Brain Disease, 29, pp. 945–953.
[6] Capizzi, G. e Masarotto, G. (2013) Phase I distribution-free analysis of univariate data. Journal of Quality Technology, 45, pp. 273–284.
[7] Capizzi, G. e Masarotto, G. (2012a) Adaptive Generalized Likelihood Ratio control charts for detecting unknown patterned mean shifts. Journal of Quality Technology, 44, pp. 281–303.
[8] Capizzi, G. e Masarotto, G. (2012b) An enhanced control chart for start-up processes and short runs. Quality Technology & Quantitative Management, 9, pp. 189–202.
[9] Capizzi, G. e Masarotto, G. (2011) A Least Angle Regression control chart for multidimensional data. Technometrics, 53, pp. 285–296.
[10] Capizzi, G. e Masarotto, G. (2010a) Combined Shewhart-EWMA control charts with estimated parameters. Journal of Statistical Computation and Simulation, 80, pp. 793–807.
11] Capizzi, G. e Masarotto, G. (2010b) Evaluation of the run-length distribution for a combined Shewhart-EWMA control chart. Statistics and Computing, 20, pp. 23–33
[12] Capizzi, G. e Masarotto, G. (2010c) Self-starting CUSCORE control charts for individual multivariate observations. Journal of Quality Technology, 42, pp. 136–151.
[13] Capizzi, G. e Masarotto, G. (2009) Bootstrap-based design of residual control charts. IIE Transactions, 41, pp. 275–286.
[14] Capizzi, G. e Masarotto, G. (2008) Practical design of Generalized Likelihood Ratio control charts for autocorrelated data. Technometrics, 50, pp. 357–370.
[15] Capizzi, G. e Masarotto, G. (2003) An adaptive Exponentially Weighted Moving Average control chart. Technometrics, 45, pp. 199–207.
[16] Capizzi, G. (2001) Design of change detection algorithms based on the Generalized Likelihood Ratio test. Environmetrics, 12, pp. 749–756.

***Articoli su libri internazionali***
[1] Capizzi, G. e Masarotto, G. (2018) Phase I distribution-free analysis with the R package
dfphase1, in Knoth, S. e Schmid, W., Frontiers in Statistical Quality Control XII. Springer, Berlino.
[2] Capizzi, G. e Masarotto, G. (2015) Comparison of Phase II control charts based on variable selection methods, in Knoth, S. e Schmid, W., Frontiers in Statistical Quality Control 11, ISBN: 978-3-319-12354-7, pp. 151–162. Springer, Berlino.
[3] Capizzi, G. (1994) On stopping rules for the sets schemes: an application of the success
runs theory, in Carlstein, E., Muller, H., e Siegmund, D., Change Point Problems, ISBN: 094060034X, pp. 66–77. Institute of Mathematical Statistics, Lecture Notes – Monograph Series.

Area di ricerca

1) Sviluppo di nuovi strumenti nell’ambito dei "metodi statistici per la sorveglianza della stabilità della performance" di processi e servizi (in ambito industriale e biomedico).
Analisi sequenziale. Modelli statistici applicati ai punti di svolta (change-point models)
2) Modellazione multivariata con applicazioni in ambito bio-medico.

Tesi proposte

Le tesi proposte riguardano le principali attività di ricerca e in particolare

Sviluppo di nuovi strumenti statistici per la modellazione e la sorveglianza di dati "complessi" o o con struttura (dati rilevabili con bassa o alta frequenza in varia ambiti applicativi).