Curriculum Vitae
Dal 2019 Professore Ordinario, s.s.d. SECS-S/01, presso il Dipartimento di Giurisprudenza, Economia, Politica e Lingue Moderne, Libera Università Maria Ss Assunta
2015 - 2019 Professore Associato, s.s.d. SECS-S/01, presso il Dipartimento di Giurisprudenza, Economia, Politica e Lingue Moderne, Libera Università Maria Ss Assunta
2015 - 2018 Centre for Innovation and Leadership in Health Sciences, University of Southampton, Southampton, UK
2012 - 2015 Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK
2008 - 2015 Ricercatore universitario, s.s.d. SECS/S-01, presso il Dipartimento di Scienze Politiche, Università di Roma Tre.
2010/2011 – Invited researcher presso il Laboratorio di Matematica (Prof. Jan Bulla), Université de Caen, Caen.
2010 – Visiting researcher presso il Dipartimento di Econometria e Statistica, (Prof. Walter Zucchini), Georg-August University, Goettingen.
2008 – Assegnista di Ricerca con riferimento al programma di ricerca “Modelli gerarchici per l’analisi delle interazioni spaziali e spazio-temporali in serie di dati”, s.s.d. SECS/S01, presso il Dipartimento di Istituzioni Pubbliche, Economia e Società, Facoltà di Scienze Politiche, Università di Roma Tre.
2008 – Dottorato in Statistica Metodologica (XX ciclo, A.A. 2004/2007), Dipartimento di Statistica, Probabilità e Statistiche Applicate, Università di Roma “La Sapienza” con Tesi su “Hidden Markov models for longitudinal data”. Supervisore: Prof. M. Vichi.
2006 – Visiting researcher presso il Dipartimento di Statistica Matematica. (Prof. Tobias Rydén), Lund University.
2004 – Corso di Perfezionamento in Economia Sanitaria e Management Sanitario, Facoltà di Economia, Università di Roma “Tor Vergata”.
2003 – Laureato in Scienze Statistiche ed Economiche con Tesi su “I nuovi strumenti di intervento per il Mezzogiorno”. Relatore: Prof. F. Nucci.
Principali pubblicazioni
A. Farcomeni, A. Maruotti, F. Divino, G. Jona-Lasinio and G. Lovison (2020). An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian regions. Biometrical Journal, , DOI: 10.1002/bimj.202000189
D. Magrì, M. Piepoli, U. Corra, G. Gallo, A. Maruotti, C. Vignati, E. Salvioni, M. Mapelli, S. Paolillo, P. Perrone Filardi, D. Girola, M. Metra, A.B. Scardovi, R. Lagioia, G. Limongelli, M. Senni, D. Scrutinio, M. Emdin, C. Passino, C. Lombardi, G. Cattadori, G. Parati, M.A. Cicoira, M. Correale, M. Frigerio, F. Clemenza, M. Bussotti, M. Guazzi, R. Badagliacca, S. Sciomer, A. Di Lenarda, A. Maggioni, G. Sinagra, M. Volpe (2020). Cardiovascular death risk in recovered mid-range ejection fraction heart failure: insights from cardiopulmonary exercise test. Journal of Cardiac Failure, vol. 26, p.932 - 943
A. Maruotti, F. Belloc, A. Nicita (2020). Comments on: The role of vitamin D in the prevention of coronavirus disease 2019 infection and mortality, by Ilie et al. (2020). Aging Clinical and Experimental Research, vol. 32, p.162 - 163
M. Mazur, M. Jedlinski, A. Ndokaj, D. Corridore, A. Maruotti, L. Ottolenghi, F. Guerra (2020). Diagnostic drama. Use of ICDAS II and fluorescence-based intraoral camera in early occlusal caries detection: A clinical study. International Journal of Environmental Research and Public Health, vol. 17, , art. no. 2937
I. Rocchetti, D. Boehning, H. Holling, A. Maruotti (2020). Estimating the size of undetected cases of the COVID-19 outbreak in Europe: An upper bound estimator. Epidemiologic Methods, vol. 9, , art. no. 20200024
Bohning D, Rocchetti I, Maruotti A, Holling H (2020). Estimating the undetected infections in the Covid-19 outbreak by harnessing capture-recapture methods. International Jorunal of Infectious Diseases, vol. 97, p.197 - 202
A. Maruotti, A. Punzo (2020). Initialization of hidden Markov and semi-Markov models: a critical evaluation of several strategies. International Statistical Review, , DOI: 10.1111/insr.12436
Maruotti A,M RANALLI, A MARUOTTI (2020). Model-based clustering for noisy longitudinal circular data, with application to animal movement. ENVIRONMETRICS, vol. 31, , art. no. e2572
PUNZO A, INGRASSIA A, MARUOTTI A (2020). Multivariate hidden Markov regression models: randomcovariates and heavy-tailed distributions. Statistical Papers,
Maruotti A,A. Recio-Saucedo, G. Smith , O. Redfern , A. Maruotti, P. Griffiths and the Missed Care Study Group (2020). Observational study of the relationship between nurse staffing levels and compliance with mandatory nutritional assessments in hospital. Journal of Human Nutrition and Dietetics,
M. Mazur, S. Bietolini, D. Bellardini, A. Lussi, D. Corridore, A. Maruotti, L. Ottolenghi (2020). Oral health in a cohort of individuals on a plant-based diet: a pilot study. La Clinica Terapeutica, vol. 71, p.142 - 148
M. Fabbri, M. Rizzolli, A. Maruotti (2020). Possession is nine-tenths of the law: possession, property, and coordination in a Hawk-Dove experiment. Journal of Institutional Economics,
Maruotti A,D. Magrì, V. Mastromarino, G. Gallo, E. Zachara, F. Re, P. Agostoni, D. Giordano, S. Rubattu, M. Forte, M. Cotugno, M.R. Torrisi, S. Petrucci, A. Germani, C. Savio, A. Maruotti, M. Volpe, C. Autore, M. Piane, B. Musumeci (2020). Risk stratification in hypertrophic cardiomyopathy. Insights from genetic analysis and cardiopulmonary exercise testing. Journal of Clinical Medicine, , art. no. 1636
C. Dall'Ora, A. Maruotti, P. Griffiths (2020). Temporary staffing and patient death in acute care hospitals: A retrospective longitudinal study. Journal of Nursing Scholarship, vol. 52, p.210 - 216
G.B. Smith, O. Redfern, A. Maruotti, A. Recio-Saucedo, P. Griffiths (2020). The association between nurse staffing levels and a failure to respond to patients with deranged physiology: a retrospective observational study in the UK. Resuscitation, vol. 149, p.202 - 208
M. Mazur, S. Westland, M. Jedlinski, A. Maruotti, G. M. Nardi, L. Ottolenghi, F. Guerra (2020). The influence of dental occlusion on spectrophotometric tooth color determinations. The Open Dentistry Journal, vol. 14, p.247 - 254
Dall'Ora C, Bale J, Redfern O, Recio Saucedo A, Maruotti A, Meredith P, Griffiths P (2019). Are long nursing shifts on hospital wards associated with sickness absence? A longitudinal retrospective observational study: nurses' 12-hour shifts and sickness absence. Journal of Nursing Management, vol. 27, p.19 - 26
MARUOTTI A; BULLA J; MARK T (2019). Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach. METRON, 77, p.19 - 42
CENTONI M; DEL PANTA V; MARUOTTI A; RAPONI V (2019). Concomitant-variable latent-class beta inflated models to assess students performance: an Italian case study. SOCIAL INDICATORS RESEARCH, vol. 146, p.7 - 18
MARUOTTI A, PUNZO A, BAGNATO L (2019). Hidden Markov and semi-Markov models with multivariate leptokurtic-normal components for robust modeling of daily returns series. JOURNAL OF FINANCIAL ECONOMETRICS, vol. 17, p.91 - 117
MASTRANTONIO G., JONA-LASINIO G., MARUOTTI A., CALISE G. (2019). Invariance properties and statistical inference for circular data. STATISTICA SINICA, vol. 29, p.67 - 80
Griffiths P, Maruotti A, Recio-Saucedo A, Redfern O, Ball J, Briggs J, Dall'Ora C, Schmidt P, Smith G (2019). Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study. BMJ Quality & Safety, 28, p.609 - 617
ANAN O; BOHNING D; MARUOTTI A (2019). On the Turing estimator in capture-recapture count data under the geometric distribution. Metrika, 82, p.149 - 172
Redfern O, Griffiths P, Maruotti A, Recio-Saucedo A, Smith G, The Missed Care Study Group (2019). The association between nurse staffing levels and the timeliness of vital signs monitoring: a retrospective observational study. BMJ Open, vol. 9, , art. no. e032157
NARDI GM; MAZUR M; CORRIDORE D; CAPOCCI M; RINALDO F; MARUOTTI A; OTTOLENGHI L (2018). Clinical comparison between an opaque and a clear pit and fissures sealants: a 12-month split-mouth, randomized controlled study. LA CLINICA TERAPEUTICA, vol. 169, 1, p.e5 - e9
PUNZO A., BAGANTO L., MARUOTTI A. (2018). Compound unimodal distributions for insurance losses. INSURANCE: MATHEMATICS AND ECONOMICS, vol. 81, p.95 - 107
PUNZO A; MAZZA A; MARUOTTI A (2018). Fitting insurance and economic data with outliers: A flexible approach based on finite mixtures of contaminated gamma distributions. JOURNAL OF APPLIED STATISTICS, vol. 45, p.2563 - 2584
PUNZO A; INGRASSIA S; MARUOTTI A (2018). Multivariate generalized hidden Markov regressionmodels with random covariates: physical exercise in an elderly population. STATISTICS IN MEDICINE, vol. 37, p.2797 - 2808
Griffiths P, Ball J, Bloor K, Bohning D, Briggs J, Dall'Ora C, Iongh AD, Jones J, Kovacs C, Maruotti A, Meredith P, Prytherch D, Recio--Saucedo A, Redfern O, Schmidt P, Sinden N; Smith G (2018). Nurse staffing levels, missed vital signs and mortality in hospitals: retrospective longitudinal observational study. Health Services and Delivery Research, vol. 6, , art. no. 38
Mazur M, Westland S, Guerra F, Corridore D, Vichi M, Maruotti A, Nardi GM and Ottolenghi L (2018). Objective and subjective aesthetic performance of Icon treatment for enamel hypomineralization lesions in young adolescents: a retrospective single center study. Journal of Dentistry, vol. 68, p.104 - 108
RECIO-SAUCEDO A, MARUOTTI A, GRIFFITHS P, SMITH G, MEREDITH P, WESTWOOD G, FOGG C, SCHMIDT P (2018). Relationships between healthcare staff characteristics and the conduct of vital signs observations at night: results of a survey and factor analysis. NURSING OPEN, vol. 5, p.621 - 633
GRIFFITHS P; RECIO-SAUCEDO A; DALL'ORA C; BRIGGS J; MARUOTTI A; MEREDITH P; SMITH GB; BALL J (2018). The association between nurse staffing and omissions in nursing care: a systematic review. JOURNAL OF ADVANCED NURSING, vol. 74, p.1474 - 1487
RECIO-SAUCEDO A., DALL'ORA C., MARUOTTI A., BALL J., BRIGGS J., MEREDITH P., REDFERN O., KOVACS C., PRYTHERCH D., SMITH GB., GRIFFITHS P. (2018). What impact does nursing care left undone have on patient outcomes? Review of the literature. Journal of Clinical Nursing, vol. 27, p.2248 - 2259
MARUOTTI A, BULLA J, LAGONA F, PICONE M, MARTELLA F (2017). Dynamic mixtures of factor analyzers to characterize multivariate air pollutant exposures. THE ANNALS OF APPLIED STATISTICS, vol. 11, p.1617 - 1648
MARUOTTI A; PUNZO (2017). Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers.. COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 113, p.475 - 496
BERNARDI M, MARUOTTI A, PETRELLA L (2017). Multiple risk measures for multivariate dynamic heavy-tailed models. JOURNAL OF EMPIRICAL FINANCE, vol. 43, p.1 - 32
ANAN O; BOHNING D; MARUOTTI A (2017). Population size estimation and heterogeneityin capture-recapture data: A regression estimator based on the Conway-Maxwell-Poisson distribution.. STATISTICAL METHODS & APPLICATIONS, vol. 26, p.49 - 79
Maruotti A,M.B. Musumeci, V. Mastromarino, M. Casenaghi, G. Tini, P. Francia, A. Maruotti, A. Romaniello, D. Magrì, R. Lillo, C. Adduci, M. Volpe, C. Autore (2017). Pulmonary hypertension and clinical correlates in hypertrophic cardiomyopathy. International Journal of Cardiology, vol. 248, p.326 - 332
D. Magrì, C. Santolamazza, L. Limite, V. Mastromarino, M. Casenghi, P. Orlando, E. Pagannone, M.B. Musumeci, A. Maruotti, A. Ricotta, G. Oliviero, G. Piccirillo, M. Volpe, C. Autore (2017). QT spatial dispersion and sudden cardiac death in hypertrophic cardiomyopathy: time for reappraisal. Journal of Cardiology, vol. 70, p.310 - 315
MARUOTTI A, ANAN O (2017). The Conway-Maxwell-Poisson distribution and capture-recapture count data. (a cura di) Dankmar Bohning, Peter G.M. Van der Heijden, John Bunge, Capture-Recapture Methods for Social and Medical Sciences. p.39 - 54 , ISBN: 9781498745314
ANAN O, BOHNING D, MARUOTTI A (2017). Uncertainty estimation in heterogeneous capture-recapture count data. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 87, p.2094 - 2114
RAPONI V; MARTELLA F; MARUOTTI A (2016). A biclustering approach to university performances: an Italian case study.. JOURNAL OF APPLIED STATISTICS, vol. 43, p.31 - 45
MARUOTTI A, PUNZO A, MASTRANTONIO G, LAGONA F (2016). A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol. 30, p.1725 - 1740
MARUOTTI A (2016). Analyzing longitudinal circular data by projected normal models: a semi-parametric approach based on finite mixture models. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, vol. 23, p.257 - 277
MAGRI' D; LIMONGELLI G; RE F; AGOSTONI P; ZACHARA E; CORREALE M; MASTROMARINO V; SANTOLAMAZZA C; CASENGHI M; PACILEO G; VALENTE F; MUSUMECI B; MARUOTTI A; VOLPE M; AUTORE C (2016). Cardiopulmonary exercise test and sudden cardiac death risk in hypertrophic cardiomyopathy.. HEART, vol. 102, p.602 - 609
PUNZO A; MARUOTTI A (2016). Clustering multivariate longitudinal observations: The contaminated Gaussian hidden Markov model. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. 25, p.1097 - 1116
GUERRA C.F.; CORRIDORE D.; MAZUR M.; RINALDO F.; MERGE' F.; PASQUALOTTO D.; VICHI M.; MARUOTTI A.; NARDI G.M.; OTTOLENGHI L (2016). Early caries detection: comparison of two procedures. A pilot study.. Senses & Sciences, vol. 3, 4, p.317 - 322 , DOI: 10.14616/sands-2016-4-317322
MARUOTTI A; RAPONI V; LAGONA F (2016). Handling endogeneity and non-negativityin correlated random effects models: evidence from ambulatory expenditure.. BIOMETRICAL JOURNAL, vol. 58, p.280 - 302
Magrì D, Re F, Limongelli G, Agostoni P, Zachara E, Correale M, Mastromarino V, Santolamazza C, Casenghi M, Pacileo G, Valente F, Morosin M, Musumeci M, Pagannone E, Maruotti A, Uguccioni M, Volpe M, Autore C (2016). Heart failure progression in hypertrophic cardiomyopathy. Possible insights from cardiopulmonary exercise testing. . CIRCULATION JOURNAL, vol. 80, p.2204 - 2211
GRIFFITHS P; BALL J; DRENNAN J; DALL'ORA C; JONES J; MARUOTTI A; POPE C; RECIO SAUCEDO A; SIMON M (2016). Nurse staffing and patient outcomes: strengths andlimitations of the evidence to inform policy and practice. A review and discussionpaper based on evidence reviewed for the National Institute for Health and CareExcellence Safe Staffing guideline development. INTERNATIONAL JOURNAL OF NURSING STUDIES, vol. 63, p.213 - 225
DE CECCO CN; CIOLINA M; ANNIBALE B; RENGO M; BELLINI D; MUSCOGIURI G; MARUOTTI A; SABA L; IAFRATE F; LAGHI A (2016). Prevalence and distribution ofcolonic diverticula assessed with CT colonography (CTC).. EUROPEAN RADIOLOGY, vol. 26, p.639 - 645
MARUOTTI A; VICHI M (2016). Time-varying clustering of multivariate longitudinal observations. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, vol. 45, p.430 - 445 , DOI: 10.1080/03610926.2013.821488
BENCIVENGA M, LAGONA F, MARUOTTI A, NARDONE G, PICONE M (2016). Unsupervised classifi cation of multivariate time series data for the identification of sea regimes. (a cura di) ALLEVA G, GIOMMI A, Topics in Theoretical and Applied Statistics. p.61 - 71 , ISBN: 978-3-319-27272-6
LAGONA F; PICONE M; MARUOTTI A; COSOLI S (2015). A hidden Markov approach to the analysis of space-time environmental data with linear and circular components. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol. 29, 2, p.397 - 409 , DOI: 10.1007/s00477-014-0919-y
LAGONA F; PICONE M; MARUOTTI A (2015). A hidden Markov model for the analysisof cylindrical time series.. ENVIRONMETRICS, vol. 26, p.534 - 544
MASTRANTONIO G; MARUOTTI A; JONA LASINIO G (2015). Bayesian Hidden Markov Modelling Using Circular-Linear General Projected Normal Distribution. ENVIRONMETRICS, vol. 26, p.145 - 158 , DOI: 10.1002/env.2326
MAGRI' D, AGOSTONI P, CORRA' U, PASSINO C, SCRUTINIO D, PERRONE-FILARDI P, CORREAL M, CATTADORI G, METRA M, GIROLA D, PIEPOLI MF, IORIO AM, EMDIN M, RAIMONOD, R, RE F, CICORIA M, BELARDINELLI R, GUAZZI M, LIMONGELLI G, CLEMENZA F, PARATI G, FRIGERIO M, CASENGHI M, SCARDOVI AB, FERRAIRONI A, DI LENARDA A, BUSSOTTI M, APOSTOLO A, PAOLILLO S, LA GIOIA R, GARGIULO P, PALERMO P, MINA' C, FARINA S, BATTAIA E, MARUOTTI A, PACILEO G, CONTINI M, OLIVA F, RICCI R, SINAGRA G (2015). Deceptive meaning of oxygen uptake measured at the anaerobic threshold in patients with systolic heart failure and atrial brillation. EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, vol. 22, p.1046 - 1055
BULLA J; LAGONA F; MARUOTTI A; PICONE M (2015). Environmental conditions in semi-enclosed basins: A dynamic latent class approach for mixed-type multivariate variables. JOURNAL DE LA SFDS, vol. 156, p.114 - 136
MARUOTTI A (2015). Handling non-ignorable dropouts in longitudinal data: A conditional model based on a latent Markov heterogeneity structure. TEST,
LAGONA F; MARUOTTI A; PADOVANO F (2015). Multilevel multivariate modelling of legislative count data, with hidden Markov chain. JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A, STATISTICS IN SOCIETY, vol. 178, p.705 - 723
MAGRI' D; BANFI C; MARUOTTI A; FARINA S; VIGNATI C; SALVIONI E; MOROSIN M; BRIOSCHI M; GHILARDI S; TREMOLI E; AGOSTONI; P (2015). Plasma immature form of surfactant protein type B correlates with prognosis in patients with chronic heart failure. A pilot single-center prospective study.. INTERNATIONAL JOURNAL OF CARDIOLOGY, vol. 201, p.394 - 399
Magrì D; Piccirillo G; Ricotta A; De Cecco CN; Mastromarino V; Serdoz A; Muscogiuri G; Gregori M; Casenghi M; Cauti FM; Oliviero G; Musumeci MB; Maruotti A; Autore C (2015). SPATIAL QT DISPERSION PREDICTS NON-SUSTAINED VENTRICULAR TACHYCARDIA AND CORRELATES WITH A CONFINED SYSTO-DIASTOLIC DYSFUNCTION IN HYPERTROPHIC CARDIOMYOPATHY. CARDIOLOGY, vol. 131, p.121 - 129
PIERINI A; MARUOTTI A (2014). A Multivariate Stochastic Volatility Model for Portfolio Risk Estimation. In: Carpita M., Brentari E. Qannari E.M.. ADVANCES IN LATENT VARIABLES. BERLIN:Springer, , DOI: 10.1007/10104_2014_17
MAGRI' D; CORRA' U; DI LENARDA A; CATTADORI G; MARUOTTI A; IORIO A; MEZZANI A; GIANNUZZI P; MANTEGAZZA V; GONDONI E; SINAGRA G; PIEPOLI M; FIORENTINI C; AGOSTONI P (2014). Cardiovascular mortality and chronotropic incompetence in systolic heart failure. The importance of a reappraisal of current cut-off criteria. EUROPEAN JOURNAL OF HEART FAILURE, vol. 16, 2, p.201 - 209
MAGRI' D; AGOSTONI P; CAUTI F M; MUSUMECI B; ASSENZA G E; DE CECCO C N; MUSCOGIURI G; MARUOTTI A; RICOTTA A; PAGANNONE E; MARINO L; SANTINI D; PROIETTI G; SERDOZ A; PANENI F; VOLPE M; AUTORE C (2014). Determinants of peak oxygen uptake in patients with hypertrophic cardiomyopathy: a single-center study. INTERNAL AND EMERGENCY MEDICINE, vol. 9, p.293 - 302 , DOI: 10.1007/s11739-012-0866-x
MARUOTTI A (2014). Latent Markov Models for longitudinal data. METRON, , DOI: 10.1007/s40300-014-0035-2
MARUOTTI A; RAPONI V (2014). On baseline conditions for zero-Inflated longitudinal count data. COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION, vol. 43, p.743 - 760 , DOI: 10.1080/03610918.2012.714032
Magrì D; De Cecco C N; Piccirillo G; Mastromarino V; Serdoz A; Muscogiuri G; Ricotta A; Gregori M; Marino L; Cauti F M; Pagannone E; Musumeci M B; Maruotti A; Autore C (2014). Relationship between myocardial repolarization dispersion and late gadolinium enhancement in patients with hypertrophic cardiomyopathy. CIRCULATION JOURNAL, vol. 78, 5, p.1216 - 1223
MARUOTTI A (2014). Robust fitting of hidden Markov regression models under a longitudinal setting. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol. 84, p.1728 - 1747 , DOI: 10.1080/00949655.2013.763943
BELLOC F; BERNARDI M; MARUOTTI A; PETRELLA L (2013). A dynamic hurdle model for zero-inflated panel count data. APPLIED ECONOMICS LETTERS, vol. 20, p.837 - 841
MARK T; VANDEBOSCH M; LEMON K; BULLA J; MARUOTTI A (2013). Capturing the evolution of customer-firm relationships: How customers become more (or less) valuable over time. JOURNAL OF RETAILING, vol. 89, 3, p.231 - 245 , DOI: http://dx.doi.org/10.1016/j.jretai.2013.04.001
MARTINEZ-ZARZOSO I; MARUOTTI A (2013). The Environmental Kuznets Curve: functional form, time-dependent heterogeneity and outliers in a panel setting. ENVIRONMETRICS, vol. 24, 7, p.461 - 475 , DOI: 10.1002/env.2232
SPARABOMBE S; GUERRA F; MARUOTTI A; DE SANCTIS R; DI GIORGIO G; PALAIA G; ROMEO U; BARBATO E (2013). Validity and reliability of a new instrument for the evaluation of dental collaboration in disabled people. EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH,
BELLOC F; MARUOTTI A; PETRELLA L (2012). A correlated random effects model for longitudinal data with non-ignorable drop-out: an application to university student performance. In: A. DI CIACCIO M. COLI J.M. ANGULO IBANEZ. Advanced Statistical Methods for the Analysis of Large Data-Sets. Berlin:Springer, , ISBN: 978-3-642-21036-5
MARUOTTI A; ROCCI R (2012). A mixed non-homogeneous hidden Markov model for categorical data, with application to alcohol consumption. STATISTICS IN MEDICINE, vol. 31, 8, p.871 - 886 , DOI: 10.1002/sim.4478
BULLA J; LAGONA F; MARUOTTI A; PICONE M (2012). A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, vol. 17, 4, p.544 - 567 , DOI: 10.1007/s13253-012-0110-1
PICCIRILLO G; MAGRI' D; PAPPADA' M; MARUOTTI A; OGAWA M; HAN S; JOUNG B; ROSSI P; NGUYEN B; LIN S; CHEN P (2012). Autonomic nerve activity and the short term variability of Tpeak-Tend interval in dogs with pacing-induced heart failure. HEART RHYTHM, vol. 9, 12, p.2044 - 2050 , DOI: 10.1016/j.hrthm.2012.08.030
BARBU V; BULLA J; MARUOTTI A (2012). Estimation of the stationary distribution of a semi-Markov chain. JOURNAL OF RELIABILITY AND STATISTICAL STUDIES, vol. 5, p.15 - 26
Auteri M; Maruotti A (2012). Modelling waiting times in the Italian National Health Service. APPLIED ECONOMICS LETTERS, p.459 - 465 , DOI: 10.1080/13504851.2011.583210
BERNARDI M; MARUOTTI A; PETRELLA L (2012). Skew Mixture Models for Loss Distributions: A Bayesian Approach. INSURANCE MATHEMATICS & ECONOMICS, 51, p.617 - 623
ALFO' M; MARUOTTI A; TROVATO G (2011). A finite mixture model for multivariate counts under endogenous selectivity. STATISTICS AND COMPUTING, vol. 21, p.185 - 202 , DOI: 10.1007/s11222-009-9159-2
MARUOTTI A (2011). A two-part mixed-effects pattern mixture model to handle zero-inflation and incompleteness in a longitudinal setting. BIOMETRICAL JOURNAL, vol. 53, p.716 - 734
BELLOC F; MARUOTTI A; PETRELLA L (2011). How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study. JOURNAL APPLIED STATISTICS, vol. 38, p.2225 - 2239
MARUOTTI A (2011). Mixed hidden Markov models for longitudinal data: an overview. INTERNATIONAL STATISTICAL REVIEW, vol. 79, 3, p.427 - 454 , DOI: 10.1111/j.1751-5823.2011.00160.x
MARTINEZ-ZARZOSO I; MARUOTTI A (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. ECOLOGICAL ECONOMICS, vol. 70, p.1344 - 1353 , DOI: 10.1016/j.ecolecon.2011.02.009
ALFO' M; MARUOTTI A (2010). A hierarchical model for time dependent longitudinal data. In: PALUMBO, FRANCESCO, LAURO, CARLO NATALE, GREENACRE, MICHAEL EDS.. Studies in Classification, Data Analysis, and Knowledge Organization - Data Analysis and Classification. BERLIN, HEIDELBERG:Springer, p.271 - 279 , DOI: 10.1007/978-3-642-03739-9_31 , ISBN: 978-3-642-03738-2
ALFO' M; MARUOTTI A (2010). Two-part regression models for longitudinal zero-inflated count data. CANADIAN JOURNAL OF STATISTICS, vol. 38, p.197 - 216 , DOI: 10.1002/cjs.10056
BELLOC F; MARUOTTI A; PETRELLA L (2010). University drop-out: an Italian experience. HIGHER EDUCATION, vol. 60, p.127 - 138 , DOI: 10.1007/s10734-009-9290-1
ALFO' M; MARUOTTI A (2009). A selection model for longitudinal binary responses subject to non-ignorable attrition. STATISTICS IN MEDICINE, vol. 28 (19), p.2435 - 2450 , DOI: 10.1002/sim.3604
MARUOTTI A; RYDÉN T (2009). A Semiparametric Approach to Hidden Markov Models under Longitudinal Observations. STATISTICS AND COMPUTING, vol. 19, p.381 - 393 , DOI: 10.1007/s11222-008-9099-2
MARUOTTI A (2009). Fairness of National Health Service in Italy: a bivariate correlated random effects model. JOURNAL APPLIED STATISTICS, vol. 36, p.709 - 722 , DOI: 10.1080/02664760802499311
CLEMENTI L; MARUOTTI A (2007). Efficiency indicators versus frontier methods: an empirical investigation of Italian public hospitals. Statistica,
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