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Advances in Data Analysis and Classification
|
December 1, 2025
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
Francesco Bartolucci, Antonietta Mira, Stefano Peluso
Statistics in Medicine
|
March 13, 2023
Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies
Francesco Denti, Stefano Peluso, Michele Guindani, et al.
Statistics in Medicine
|
September 24, 2020
Bayesian learning of multiple directed networks from observational data
Federico Castelletti, Luca La Rocca, Stefano Peluso, et al.
Biometrical Journal. Biometrische Zeitschrift
|
February 4, 2020
A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests
Stefano Peluso, Antonietta Mira, Håvard Rue, et al.
Resuscitation
|
May 30, 2019
Real-life time and distance covered by lay first responders alerted by means of smartphone-application: Implications for early initiation of cardiopulmonary resuscitation and access to automatic external defibrillators
Angelo Auricchio, Lorenzo Gianquintieri, Roman Burkart, et al.
Resuscitation Plus
|
November 11, 2024
Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke
Angelo Auricchio, Tommaso Scquizzato, Federico Ravenda, et al.
Plos One
|
September 1, 2020
Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement
Angelo Auricchio, Stefano Peluso, Maria Luce Caputo, et al.
Plos One
|
August 8, 2019
Evaluating health facility access using Bayesian spatial models and location analysis methods
Nicholas J Tierney, Antonietta Mira, H Jost Reinhold, et al.
Annals of Medicine
|
November 27, 2023
Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project
Daniele Roberto Giacobbe, Cristina Marelli, Sara Mora, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Advances in Data Analysis and Classification
|
December 1, 2025
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
Francesco Bartolucci, Antonietta Mira, Stefano Peluso
Statistics in Medicine
|
March 13, 2023
Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies
Francesco Denti, Stefano Peluso, Michele Guindani, et al.
Statistics in Medicine
|
September 24, 2020
Bayesian learning of multiple directed networks from observational data
Federico Castelletti, Luca La Rocca, Stefano Peluso, et al.
Biometrical Journal. Biometrische Zeitschrift
|
February 4, 2020
A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests
Stefano Peluso, Antonietta Mira, Håvard Rue, et al.
Resuscitation
|
May 30, 2019
Real-life time and distance covered by lay first responders alerted by means of smartphone-application: Implications for early initiation of cardiopulmonary resuscitation and access to automatic external defibrillators
Angelo Auricchio, Lorenzo Gianquintieri, Roman Burkart, et al.
Resuscitation Plus
|
November 11, 2024
Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke
Angelo Auricchio, Tommaso Scquizzato, Federico Ravenda, et al.
Plos One
|
September 1, 2020
Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement
Angelo Auricchio, Stefano Peluso, Maria Luce Caputo, et al.
Plos One
|
August 8, 2019
Evaluating health facility access using Bayesian spatial models and location analysis methods
Nicholas J Tierney, Antonietta Mira, H Jost Reinhold, et al.
Annals of Medicine
|
November 27, 2023
Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project
Daniele Roberto Giacobbe, Cristina Marelli, Sara Mora, et al.
Page
of 1