Antonello Maruotti

OTTING M; LANGROCK R; MARUOTTI A (2022). A copula-based multivariate hidden Markov model for modelling momentum in football. AStA Advances in Statistical Analysis,

Di Mari R, Maruotti A (2022). A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. . Advances in Data Analysis and Classification,

Divino F, Alaimo Di Loro P, Farcomeni A, Jona-Lasinio G, Lovison G, Ciccozzi M, Mingione M, Maruotti A (2022). Decreased severity of the Omicron variant of concern: further evidence from Italy. International Journal of Infectious Diseases,

Maruotti A, Jona-Lasinio G, Divino F, Lovison G, Ciccozzi M, Farcomeni A (2022). Estimating COVID-19-induced excess mortality in Lombardy, Italy. Aging Clinical and Experimental Research, vol. 34, p.475 - 479

G. Berentsen, J. Bulla, A. Maruotti, B. Stove (2022). Modeling clusters of corporate defaults: regime-switching models significantly reduce the contagion source. Journal of the Royal Statistical Society - Series C,

Maruotti A, Fabbri M, Rizzolli M (2022). Multilevel hidden Markov models for behavioral data: a Hawk-and-Dove experiment. . Multivariate Behavioral Research,

Divino F, Maruotti A, Farcomeni A, Jona-Lasinio G, Lovison G, Ciccozzi M (2022). On the severity of COVID-19 infections in 2021 in Italy. Journal of Medical Virology, vol. 94, p.1281 - 1283

Maruotti A, Giovanetti M, Divino F, Broccolo F, Angeletti S, Ciccozzi M (2022). Prisoners of variants, or free to act as prisoners of swabs? The case of Italy. Journal of Medical Virology,

Borsetti A, Scarpa F, Maruotti A, Divino F, Ceccarelli G, Giovannetti M, Ciccozzi M (2022). The unresolved question on COVID-19 virus origin: The three cards game?. Journal of Medical Virology, vol. 94, p.1257 - 1260

Bussoli C, Giannotti C, Maruotti A, Marino MF (2022). Trade credit in Europe: financial constraint and substitution effect in crisis times. European Financial Management,

MERLO L; MARUOTTI A; PETRELLA L (2022). Two-part quantile regression models for semi-continuous longitudinal data: a finite mixture approach. Statistical Modelling,

Divino F, Ciccozzi M, Farcomeni A, Jona-Lasinio G, Lovison G, Maruotti A (2022). Unreliable predictions about COVID-19 infections and hospitalizations make people worry: the case of Italy. Journal of Medical Virology, vol. 94, 1, p.26 - 28

FARCOMENI A; MARUOTTI A; DIVINO F; JONA-LASINIO G; LOVISON G (2021). An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian regions. Biometrical Journal, vol. 63, p.503 - 513 , DOI: 10.1002/bimj.202000189

MARUOTTI A; PETRELLA L; SPOSITO L (2021). Hidden semi-Markov-switching quantile regression for time series. Computational Statistics and Data Analysis, vol. 159, , art. no. 107208

MARUOTTI A; PUNZO A (2021). Initialization of hidden Markov and semi-Markov models: a critical evaluation of several strategies. International Statistical Review, vol. 89, p.447 - 480 , DOI: 10.1111/insr.12436

GALLO G; MASTROMARINO V; LIMONGELLI G; CALCAGNI G; MARUOTTI A; RAGNI L; VALENTIE F; MUSUMECI MB; ADORISIO R; RUBINO M; AUTORE C; MAGRI' D (2021). Insights from cardiopulmonary exercise testing in pediatric patients with hypertrophic cardiomyopathy. Biomolecules, vol. 11, , art. no. 376

PUNZO A, INGRASSIA A, MARUOTTI A (2021). Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions. Statistical Papers, vol. 62, p.1519 - 1555

P. Alaimo Di Loro, F. Divino, A. Farcomeni, G. Jona-Lasinio, G. Lovison, A. Maruotti, M. Mingione (2021). Nowcasting COVID-19 incidence indicators during the Italian first outbreak. Statistics in Medicine, vol. 40, p.3843 - 3864

RECIO-SAUCEDO A; SMITH G; REDFERN O; MARUOTTI A; GRIFFITHS P and the Missed Care Study Group (2021). Observational study of the relationship between nurse staffing levels and compliance with mandatory nutritional assessments in hospital. Journal of Human Nutrition and Dietetics, vol. 34, p.679 - 686

MARUOTTI A; CICCOZZI M; DIVINO F (2021). On the misuse of the reproduction number in the COVID-19 surveillance system in Italy. Journal of Medical Virology, vol. 93, p.2569 - 2570

FABBRI M; RIZZOLLI M; MARUOTTI A (2021). Possession is nine-tenths of the law: possession, property, and coordination in a Hawk-Dove experiment. Journal of Institutional Economics, vol. 17, p.267 - 288

Maruotti A,M. Mingione, P. Alaimo Di Loro, A. Farcomeni, F. Divino, G. Lovison, A. Maruotti, G. Jona-Lasinio (2021). Spatio-temporal modelling of COVID-19 incident cases using Richards' curve: an application to the Italian regions. Spatial Statistics, , art. no. 100544

Maruotti A,M. Centoni, A. Maruotti (2021). Students' evaluation of academic courses: an exploratory analysis to an Italian case study. Studies in Educational Evaluation, vol. 70, , art. no. 101054

M. Ciccozzi, A. Maruotti, G. Ceccarelli, F. Divino, M. Guarino, S. Angeletti. (2021). While we are discussing…the SARS-CoV-2 virus laughs. Journal of Medical Virology, vol. 93, p.6475 - 6476

MAGRI' D, PIEPOLI M, CORRA' U, GALLO G, MARUOTTI A, VIGNATI C, SALVIONI E, MAPELLI M, PAOLILLO S, PERRONE FILARDI P, GIROLA D, MERTA M, SCARDOVI AB, LAGIOIA R, LIMONGELLI G, SENNI M, SCRUTINIO D, EMDIN M, PASSINO C, LOMBARDI C, CATTADORI G, PARATI G, CICORIA MA, CORREALE M, FRIGERIO M, CLEMENZA F, BUSSOTTI M, GUAZZI M, BADAGLIACCA R, SCIOME S, DI LENARDA A, MAGGIONI A, SINAGRA G, VOLPE M (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

MARUOTTI A; BELLOC F; NICITA A (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

MAZUR M, JEDLINSKI A, NDOKAJ A, CORRIDORE D, MARUOTTI A, OTTOLENGHI L, GUERRA F (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

ROCCHETTI I; BOEHNING D; HOLLING H; MARUOTTI A (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

RANALLI M; MARUOTTI A (2020). Model-based clustering for noisy longitudinal circular data, with application to animal movement. ENVIRONMETRICS, vol. 31, , art. no. e2572

MAZUR M, BIETOLINI S, BELLARDINI D, LUSSI A, CORRIDORE D, MARUOTTI A , OTTOLENGHI L (2020). Oral health in a cohort of individuals on a plant-based diet: a pilot study. La Clinica Terapeutica, vol. 71, p.142 - 148

MAGRI' D, MASTROMARINO V, GALLO G, ZACHARA E, RE F, AGOSTONI P, GIORDANO D, RUBATTU S, FORTE M, COTUGNO M, TORRISI MR, PETRUCCI S, GERMANI A, SAVIO C, MARUOTTI A, VOLPE M, AUTORE C, PIANE M, MUSUMECI MB (2020). Risk stratification in hypertrophic cardiomyopathy. Insights from genetic analysis and cardiopulmonary exercise testing. Journal of Clinical Medicine, , art. no. 1636

DALL'ORA C, MARUOTTI A, GRIFFITHS P (2020). Temporary staffing and patient death in acute care hospitals: A retrospective longitudinal study. Journal of Nursing Scholarship, vol. 52, p.210 - 216

SMITH GB, REDFERN O, MARUOTTI A, RECIO-SAUCEDO A, GRIFFITHS P (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

MAZUR M, WESTLAND S, JEDLINKI M, MARUOTTI A, NARDI GM, OTTOLENGHI L, GUERRA F (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,