AWARDS
BEST LONG TALK AWARDS - BaYSM 2025 (100$)
YOUNG CONTRIBUTION HONOURABLE MENTION FOR A PROCEEDING - SIS 2024: A Gibbs sampler for community detection in assortative Stochastic Block Model.
PAPERS UNDER REVIEW OR IN PREPARATION
Martina Amongero, Andrea Callegaro, Marco Costantini, Luca Moraschini, Mauro Gasparini, Stijn Vasteelandt. How to estimate vaccine efficacy in randomized recurrent event trials with informative censoring: an application to real data. Submitted. (A preliminary version can be found in Chapter 6 of my Ph.D. thesis)
Martina Amongero, Enrico Bibbona. Extended analysis of the Covid-19 Italian data with the SIPRO model, a retrospective study. In preparation. (A preliminary version can be found in Chapter 2 of my Ph.D. thesis)
Martina Amongero, Pierpaolo De Blasi. A Gibbs sampler for community detection in assortative Stochastic Block Model with unknown number of communities. arXiv:2506.19576.
PAPERS IN PEER REVIEWED JOURNALS
Martina Amongero, Buttigiliero F. Ylenia, Dalla Pria Marco, Fasano Augusto. A discussion on "A Tree Perspective on Stick-Breaking Modles in covarate-Dependent Mixtures". Bayesian Analysis (2025). To appear. (https://iris.unito.it/handle/2318/2092332)
Martina Amongero, Pierpaolo De Blasi. Assortative Stochastic Block Model in Citation Network Analysis. Book of short paper SIS (2025).
Martina Amongero, Gianluca Mastrantonio, Stefano De Luca, Mauro Gasparini. Estimating the optimal time to perform a PET-PSMA exam in prostatectomized patients based on data from clinical practice. In Biometrical Journal, 67 (3), e70058, (2025).
Martina Amongero, Pierpaolo De Blasi. A Gibbs Sampler for Community Detection in Assortative Stochastic Block Model. In Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography II. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, (2025).
Jacopo Burrello, Martina Tetti, Vittorio Forestiero, Vanessa Biemmi, Sara Bolis, Margherita Pomatto, Martina Amongero,. . ., Silvia Monticone. Profiling circulating extracellular vesicle surface antigens in primary aldosteronism. In Journal of Hypertension, 40 (Suppl 1), e32, (2022).
Jacopo Burrello, Alessio Burrello, Elena Vacchi, Giovanni Bianco, Elena Caporali, Martina Amongero,. . ., Lucio Barile. Supervised and unsupervised learning to define the cardiovascular risk of patients according to an extracellular vesicle molecular signature. In Translational Research, 244, 114–125, (2022).
Martina Amongero, Enrico Bibbona, Gianluca Mastrantonio. Analysing the Covid-19 pandemic in Italy with the SIPRO model. In Italian Statistics Society - Book of Short Papers 2021, 1568–1573, (2021).
Jacopo Burrello, Martina Tetti, Vittorio Forestiero, Vanessa Biemmi, Sara Bolis, Margherita Alba Carlotta Pomatto, Martina Amongero,. . ., Silvia Monticone. Characterization of Circulating Extracellular Vesicle Surface Antigens in Patients With Primary Aldosteronism. In Hypertension, 78 (3), 726–737, (2021).
Jacopo Burrello, Martina Amongero,. . ., Paolo Mulatero . Development of a Prediction Score to Avoid Confirmatory Testing in Patients With Suspected Primary Aldosteronism. In The Journal of Clinical Endocrinology & Metabolism, 106 (4), 1708–1716, (2021).
Fabrizio Buffolo, Giovanni Cavaglià, Jacopo Burrello, Martina Amongero, Martina Tetti, Alessio Pecori, Elisa Sconfienza, Franco Veglio, Paolo Mulatero, Silvia Monticone. Quality of life in primary aldosteronism: A prospective observational study. In European Journal of Clinical Investigation, 51 (3), e13419, (2021).
Jacopo Burrello, Alessio Burrello, Jacopo Pieroni, Elisa Sconfienza, Vittorio Forestiero, Martina Amongero, Denis Rossato, Franco Veglio, Tracy A Williams, Silvia Monticone, Paolo Mulatero. Prediction of hyperaldosteronism subtypes when adrenal vein sampling is unilaterally successful. In European Journal of Endocrinology, 183(6), 657–667,(2020).
Jacopo Burrello, Vanessa Biemmi, Michele Dei Cas, Martina Amongero, Sara Bolis, Edoardo Lazzarini, Sveva Bollini, Giuseppe Vassalli, Rita Paroni, Lucio Barile. Sphingolipid composition of circulating extracellular vesicles after myocardial ischemia. In Scientific Reports, 10 (1), 16182,(2020).
THESIS
Martina Amongero. Statistical methods for longitudinal medical data with applications. Ph.D. Thesis (2024).
Martina Amongero. Inference for stochastic differential equations models with random effects. M.Sc. Thesis (2019).