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Pubblicazioni (pagina personale)

  1. Bortolato E, Ventura L (2024). Objective priors for invariant e−values in the presence of nuisance parameters. Entropy, in press.
  2. Cassalia F, Bolzon A, Ponzano M, Ventura L, Danese A, del Fiore P, Belloni Fortina A, Jovine E, Perri G, Cillo U, Marchegiani G. (2024). The importance of reading the skin: cutaneous metastases of pancreatic cancer, a systematic review. J. Clin. Med., 13, 104. https://doi.org/10.3390/jcm13010104
  3. Uccheddu S, Pierantoni L, Ventura L, Gambolo L, Tonna M (2023). Compulsive Disorder in Companion animals: An ethological approach. Journal of Veterinary Behavior, https://doi.org/10.1016/j.jveb.2023.12.003.
  4. Fontana K, Battaglia G, Ascione F, Cardinali P, Ventura L, Bortolami E (2023). Ultrasound-guided bilateral quadratus lumborum block in dogs undergoing abdominal surgery: a retrospective study. Veterinary Anaesthesia and Analgesia, 50 (6), 545.
  5. Cocchetto, A., Zoia, A., Aragao, R., Ventura, L. e Menchetti, M. (2023), Predictive va- lue of acute phase proteins for the short-term outcome of meningoencephalitis of unknown origin, Animals, 2023, 13, 2575. https://doi.org/10.3390/ani13162575
  6. Lomabardi, C., Berti, A., Cottini, M., Roca, E. e Ventura, L. (2023), Using the six- minute walking test to assess the clinical response to mepolizumab and conventional therapy in severe eosinophilic asthma, ERJ Open Research, 9(5): 00114-2023
  7. Bortolato, E., Ventura, L. (2023), On approximate robust confidence distributions, Econometrics and Statistics, to appear.
  8. Bressan A, Faggin E, Donato M, Tonon L, Buso R, Nardin C, Tiepolo M, Cinetto F, Scarpa R, Agostini C, Pauletto P, Ventura L, Fusaro M, Felice C, Rattazzi M. NETosis in Acute Thrombotic Disorders. Semin Thromb Hemost. 2023 doi: 10.1055/s-0043-1769510. Epub ahead of print.
  9. Cottini, M., Lombardi, C., Comberiati, M.L., Berti, A., Ventura, L. (2023), Small airway dysfunction in asthmatic patients treated with as-needed SABA monotherapy: A perfect storm, Respiratory Medicine, 209, 107154.
  10. Girardi, P., Greco, L., Ventura, L. (2022), Misspecified modeling of subsequent waves during COVID-19 outbreak: A change-point growth model, Biometrical Journal, 64, 523-538.
  11. Ruli, E., Ventura, L., Musio., M. (2022), Robust confidence distributions from proper scoring rules, Statistics, 56, 455-478.
  12. Cordella A, Gianesini G, Zoia A, Ventura L, Bertolini G. Multi-phase MULTIDETECTOR-row computed tomographic features and laboratory findings in dogs with gallbladder rupture. Res Vet Sci. 2022 Oct 30;153:137-143.
  13. Carli E, Solano-Gallego L, De Arcangeli S, Ventura L, Ligorio E, Furlanello T. Clinicopathological findings and risk factors associated with Cytauxzoon spp. infection in cats: A case-control study (2008-2021). Front Vet Sci. 2022 Nov 10;9:976173.
  14. Kholová I, Negri G, Nasioutziki M, Ventura L, Capitanio A, Bongiovanni M, Cross PA, Bourgain C, Edvardsson H, Granados R, Lipiński A, Obermann EC, Pinamonti M, Sidlova H, Strojan Fležar M, van Kemenade FJ, Vrdoljak-Mozetic D, Fassina A, Cochand-Priollet B. Inter- and intraobserver agreement in whole-slide digital ThinPrep samples of low-grade squamous lesions of the cervix uteri with known high-risk HPV status: A multicentric international study. Cancer Cytopathol. 2022 Dec;130(12):939-948.
  15. Denti D, Caldin M, Ventura L, De Lucia M. Prolonged twice-daily administration of oclacitinib for the control of canine atopic dermatitis: a retrospective study of 53 client-owned atopic dogs. Vet Dermatol. 2022 Apr;33(2):149-e42.
  16. Ruli, E., Ventura, L. (2021), Can Bayesian, confidence distribution and frequentist inference agree?, Statistical Methods & Applications, 30, 359-373.
  17. Nordio, S., Arcara, G., Berta, G., Dellai, A., Bristotto, C., Koch, I., Cazzador, D., Aspidistria, M., Ventura, L., Turolla, A., D’Imperio, D., Battel, I. (2021), Biofeedback as an adjunctive treatment for post-stroke dysphagia: A pilot-randomized controlled study, Dysphagia, to appear. 
  18. Cappello, F., Cappellesso, R., Piccin, L., Ventura, L., Guzzardo, V., Dei Tos, A., Mocellin, S., Fassina, A. (2021), RIPK3 and AXL expression study in primary cutaneous melenoma unmasks AXL as predictor of sentinel node metastasis: A pilot study, Frontiers in Oncology, to appear. 
  19. Zoia, A., Morris, J.S., Drigo, M., Ventura, L., McBrearty, A.R. (2021), Low serum folate concentrations in dogs with non-associative immunemediated haemolytic anaemia, Veterinary Record, e946, 1-8.
  20. Caroppo, F., Galderisi, A., Ventura, L., Belloni Fortina, A. (2021), Metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis, European Journal of Pediatrics, 180, 1739-1745.
  21. Caroppo, F., Galderisi, A., Moretti, C., Ventura, L., Belloni Fortina, A. (2021), Prevalence of psoriasis in a cohort of children and adolescents with type 1 diabetes, Journal of the European Academy of Dermatology and Venereology, 35, e589-e591.
  22. Lombardi, C., Roca, E., Ventura, L., Cottini, M. (2021), Smoking and Covid-19, The paradox to discover: an Italian retrospective, observational study in hospitalized and non-hospitalized patients, Medical Hypotheses, 146: 110391.
  23. Roca, E., Ventura, L., Zattra, C., Lombardi, C. (2021), EOSINOPENIA: An early, effective and relevant COVID-19 biomarker?, QJM: An International Journal of Medicine, 114, 68-69.
  24. Kholova, I., Negri, G., Nasioutziki, M., Bongiovanni, M., Ventura, L., Capitanio, A., Cross, P., Fassina, A., Cochand-Priollet, B. (2021), Expert Cytopathologists were not biased by HPV data in interobserver and intraobserver study in low grade squamous lesions in thin prep liquid-based cytology, Journal of the American Society of Cytopathology, 10(5): S29.
  25. Bassi, F., Parise, N., Ventura, L., Doria, M., Fiore, M., Mariani, M.M., Spanevello, V. (2021), Indagine conoscitiva della Federazione Italiana Medici Pediatri su: Utilizzo della diagnostica di I livello nello studio del Pediatra di famiglia, Il Medico Pediatra, 30, 1-26.
  26. Ruli, E., Sartori, N., Ventura, L. (2020), Robust approximate Bayesian inference, Journal of Statistical Planning and Inference, 205, 10-22.
  27. Girardi, P., Greco, L., Mameli, V., Musio, M., Racugno, W., Ruli, E., Ventura, L. (2020), Robust inference for nonlinear regression models from the Tsallis score: application to COVID-19 contagion in Italy, Stat, 9:e309.
  28. Giummolè, F., Ventura, L. (2020), Invited discussion of “On a class of objective priors from scoring rules”, Bayesian Analysis, 15, 1384-1390.
  29. Girardi, P., Greco, L., Musio, M., Racugno, W., Ventura, L. (2020), The evolution of the endemic stage of the Covid-19 outbreak in Italy during summer 2020, Significance.
  30. Girardi, P., Greco, L., Mameli, V., Musio, M., Racugno, W., Ruli, E., Ventura, L. (2020), Robust Bayesian modelling for Covid-19 data in Italy, Significance.
  31. Ventura, L., Racugno, W. (2020), Robbayes-C19: Analisi Bayesiana robusta dei dati di medio periodo del Covid-19 in Italia. Statistica e Società, Anno IX 2020, Edizione Speciale Covid-19.
  32. Litti, L. Colusso, A., Pinto, M., Ruli, E., Scarsi, A., Ventura, L., Toffoli, G., Colombatti, M., Fracasso, G., Meneghetti, M. (2020), SERRS multiplexing with multivalent nanostructures for the identification and enumeration of epithelial and mesenchymal cells, Scientific Reports, 10: 15805.
  33. Maffeis, V., Cappellesso, R., Galuppinia, F., Zanon, A., Guzzardo, V., Ventura, L., Martini, A., Fassina, A. (2020), Tumor budding is an adverse prognostic marker in interstinal-type sinonasal adenocarcinoma and seems to be unrelated to epithelial-mesenchymal transition, Virchows Archiv, 477, 241-248.
  34. Cappellesso, R., Nicolè, L., Zanco, F., Lo Mele, M., Fassina, A., Ventura, L., Rosa-Rizzotto, E., Guido, E., De Lazzari, F., Pilati, P., Tonello, M., Rugge, M. (2020), Synchronous nodal metastatic risk in screening detected and endoscopically removed pT1 colorectal cancers, Pathology – Research and Practice, 216, 152966.
  35. Caroppo, F., Zacchino, M., Milazzo, E., Fontana, E., Nobile, F., Marogna, C., Ventura, L., Belloni Fortina, A. (2020), Quality of life in children with psoriasis: results from a monocentric study, Giornale Italiano di Dermatologia e Venereologia, to appear.
  36. Ruli, E., Ventura, L. (2020), Accurate likelihood inference for the volume under the ROC surface, Cancer Reports, 3: e1206.
  37. Giummolè, F., Mameli, V., Ruli, E., Ventura, L. (2019), Objective Bayesian inference with proper scoring rules, Test, 28, 728-755.
  38. Caroppo, F., Ventura, L., Belloni Fortina, A. (2019), High blood pressure in normal-weight children with psoriasis, Acta Dermato-Venereologica, 99, 329-330.
  39. Lepidi, S., Squizzato, F., Bozza, R., Ventura, L., Piazza, M., Porcellato, L., Antonello, M., Grego, F. (2019), Propensity-matched cohorts comparison of endovascular versus open reconstruction of transatlantic inter-society consensus C and D aortoiliac occlusive disease, Journal of Vascular Surgery, 69, e168-e169.
  40. Mameli, V., Musio, M., Ventura, L. (2018), Bootstrap adjustments of signed scoring rule root statistics, Communications in Statistics – Simulation and Computation, 47, 1204-1215.
  41. Ruli, E., Ventura, L. (2018), Modern likelihood inference for measures of process capability, In: BIOSTAT at 25. Invited Essays in Theoretical, Biomedical and Social Statistics, Edizioni ETS, Book ISBN: 978-884675409-7, 273-283.
  42. Kiper, P., Szczuslik, A., Agostini, M., Opara, J., Nowobilski, R., Ventura, L., Tonin, P., Turolla, A. (2018), Virtual reality for upper limb rehabilitation in sub-acute and chronic stroke: a randomized controlled trial, Archives of Physical Medicine and Rehabilitation, 99, 834-842.
  43. Piras, D., Masala, M., Delitala, A., Urru, S.A.M., Curreli, N., Balaci, L., Ferreli, L.P., Loi, F., Atzeni, A., Cabiddu, G., Racugno, W., Ventura, L., Zoledziewska, M., Steri, M., Fiorillo, E., Pilia, M.G., Schlessinger, D., Cucca, F., Rule, A.D., Pani, A. (2018), Kidney size in relation to ageing, gender, renal function, birthweight and chronic kidney risk factors in a general population, Nephrology Dialysis Transplantation, doi: 10,1093/ndt/gfy270 (Epub). 
  44. Moreno, E., Racugno, W., Ventura, L. (2017), Invited discussion of “A Bayesian information criterion for singular models”, Journal of the Royal Statistical Society B, 79, 366-367.
  45. Duregon, E., Cappellesso, R., Maffeis, V., Ventura, L., Berruti, A., Terzolo, M., Fassina, A., Volante, M., Papotti, M. (2017), Validation of the prognostic role of the “Helsinki Score” in 225 cases of adrenocortical carcinoma, Human Pathology, 62, 1-7.
  46. Enrichi, C., Battel, I., Zanetti, C., Koch, I., Ventura, L., Palmer, K., Meneghello, F., Piccione, F., Rossi, S., Lazzeri, M., Sommariva, M., Turolla, A. (2017), Clinical criteria for tracheostomy decannulation in subjects with acquired brain injury, Respiratory care, 62, 1255-1263.
  47. Lepidi, S., Squizzato, F., Bozza, R., Ventura, L., Zavatta, M., Piazza, M., Grego, F., Antonello, M. (2017), Endovascular vs open treatment of severe aortoiliac occlusive disease: outcomes of kissing self-expanding covered stent for reconstruction of the aortic bifurcatio, Journal of Vascular Surgery, 65, 21S.
  48. Koch, I., Ferrazzi, A., Busatto, C., Ventura, L., Palmer, K., Stritoni, P., Meneghello, F., Battel, I. (2017), Cranial nerve examination for neurogenic dysphagia patients, Otolaryngol (Sunnyvale) 7: 319.
  49. Ruli, E., Sartori, N., Ventura, L. (2016), Improved Laplace approximation for marginal likelihoods, Electronic Journal of Statistics, 10, 3986-4009.
  50. Ruli, E., Sartori, N., Ventura, L. (2016), Approximate Bayesian Computation with composite score functions, Statistics and Computing, 26, 679-692.
  51. Dawid, P., Musio, M., Ventura, L. (2016), Minimum scoring rule inference, Scandinavian Journal of Statistics, 43, 123-138.
  52. Danesi, I.L., Piacenza, F., Ruli, E., Ventura, L. (2016), Optimal B-robust posterior distributions for operational risk, The Journal of Operational Risk, 11, 1-20.
  53. Ruli, E., Ventura, L. (2016), Higher-order Bayesian approximations for pseudo-posterior distributions, Communications in Statistics – Simulation and Computation, 45, 2863-2873.
  54. Ventura, L., Racugno, W. (2016), Pseudo-likelihoods for Bayesian inference, In: Topics on Methodological and Applied Statistical Inference, Series Studies in Theoretical and Applied Statistics, Springer-Verlag, Book ISBN: 978-3-319-44093-4, 205-220.
  55. Righi, L. Duregon, E, Vatrano, S., Izzo, S., Giorcelli, J., Rondon-Lagos, M., Ascoli, V., Ruffini, E., Ventura, L., Volante, M., Papotti, M., Scagliotti, G. (2016), BRCA1-associated protein 1 (BAP1) immunohistochemical expression as a diagnostic tool in malignat pleural mesothelioma classification: a large retrospective study, Journal of Thoracic Oncology, 11, 2006-2017.
  56. Duregon, E., Bertero, L., Pittaro, A., Soffietti, R., Ruda’, R., Trevisan, M., Papotti, M., Ventura, L., Senetta, R., Cassoni, P. (2016), Ki-67 proliferation index but not mitotic thresholds integrates the molecular prognostic stratification of lower grade gliomas, Oncotarget, 7, 21190-21198.
  57. Papathomas, T.G., Duregon, E., Korpershoek, E., Restuccia, D.F., van Marion, R., Cappellesso, R., Sturm, N., Rossi, G., Coli, A., Zucchini, N., Stoop, H., Oosterhuis, W., Ventura, L., Volante, M., Fassina, A., Dinjens, W.N., Papotti, M., de Krijger, R.R. (2016), Sarcomatoid Adrenocortical Carcinoma: A comrehensive pathological, immunohistochemical and targeted next-generation sequencing analyisis, Human Pathology, 58, 113-122. 
  58. Cappellesso, R., Nicole’, L., Caroccia, B., Guzzardo, V., Ventura, L., Fassan, M., Fassina, A. (2016), Young investigation challenge: MicroRNA-21/MicroRNA-126 profiling as a novel tool for the diagnosis of malignant mesothelioma in pleural effusion cytologhy, Cancer Cytopathology, 124, 28-36.
  59. Battel, I., Veolin, A., Koch, I., Ventura, L., Tonin, P., Palmer, K., Meneghello, F. (2016), Comparison of the cough test and water swallowing in healthy participants and neurological patients, B-ENT, 12, 285-289.
  60. Mameli, V., Ventura, L. (2015), Higher-order asymptotics for scoring rules, Journal of Statistical Planning and Inference, 165, 13-26.
  61. Cabras, S., Racugno, W., Ventura, L. (2015), Higher-order asymptotic computation of Bayesian significance tests for precise null hypotheses in the presence of nuisance parameters, Journal of Statistical Computation and Simulation, 85, 2989-3001.
  62. Duregon, E., Cassenti, A., Pittaro, A., Ventura, L., Senetta, R., Ruda’, R, Cassoni, P. (2015), Better see to better agree: Phosphohistone H3 increases interobserver agreement in mitotic count for meningioma grading and imposes new specific thresholds, Neuro-Oncology, 17, 663-669.
  63. Cappellesso, R., Millioni, R., Arrigoni, G., Simonato, F., Caroccia, B., Iori, E., Guzzardo, V., Ventura, L., Tessari, P., Fassina, A. (2015), Lumican is overexpressed in lung adenocarcinoma pleural effusions, PLOS ONE, 10(5): e0126458.
  64. Cappellesso, R., Bellan, A., Saraggi, D., Salmaso, R., Ventura, L., Fassina, A. (2015), Yap immunoreactivity is directly related to pilomatrixoma size and proliferation rate, Archives of Dermatological Research, 2014 Dec 17.
  65. Ruli, E., Sartori, N., Ventura, L. (2014), Marginal posterior simulation via higher-order tail area approximations, Bayesian Analysis, 9, 129-146.
  66. Ventura, L., Reid, N. (2014), Approximate Bayesian computation with modified loglikelihood ratios, Metron, 7, 231-245.
  67. De Santis, F., Ventura, L. (2014), Advances in Statistical Inference: Bayesian and likelihood interplay, Metron, 72, 123-124.
  68. Barzon, L., Cappellesso, R., Peta, E., Militello, V., Sinigaglia, A., Fassan., M., Simonato, F., Guzzarvo, V., Ventura, L., Blandamura, S., Gardiman, M., Palù, G., Fassina, A. (2014), Profiling of expression of human Papillomavirus-related cancer MicroRNAs in penile squamous cell carcinomas, American Journal of Pathology, 184, 3376-3383.
  69. Fassina, A., Cappellesso, R., Simonato, F., Siri, M., Ventura, L., Tosato, F., Busund, L.T., Pelizzo, M.R., Fassan, M. (2014), A 4-MicroRNA signature can discriminate primary lymphomas from anaplastic carcinomas in thyroid cytology smears, Cancer Cytopathology, 122, 274-281.
  70. Duregon, E., Molinaro, L., Volante, M., Ventura, L., Righi, L., Bolla, S., Terzolo, M., Sapino, A., Papotti, M. (2014), Comparative diagnostic and prognostic performances of the hematoxylin-eosin and phospho-histone H3 mitotic count and ki-67 index in adrenocortical carcinoma, Modern Pathology, 27, 1246-1254.
  71. Cappellesso, R., Tinazzi, A., Giurici, T., Simonato, F., Guzzardo, V., Ventura, L., Crescenzi, M., Chiarelli, S., Fassina, A. (2014), PDCD4 and mir-21 inverse expression is maintained in cells and exosomes from Ovarian Serous Carcinoma Effusions, Cancer Cytopathology, 122, 685-693.
  72. Lunardon, N., Pauli, F., Ventura, L. (2013), A note on empirical likelihoods derived from pairwise score functions, Journal of Statistical Computation and Simulation, 83, 1405-1414.
  73. Ventura, L., Ruli, E., Racugno, W. (2013), A note on approximate Bayesian credible sets based on modified loglikelihood ratios, Statistics and Probability Letters, 83, 2467-2472.
  74. Ventura, L., Sartori, N., Racugno, W. (2013), Objective Bayesian higher-order asymptotics in models with nuisance parameters, Computational Statistics & Data Analysis, 60, 90-96.
  75. Cortese, G., Ventura, L. (2013), Accurate higher-order likelihood inference on P(X<Y), Computational Statistics, 28, 1035-1059.
  76. Duregon, E., Fassina, A., Volante, M., Nesi, G., Santi, R., Gatti, G., Cappellesso, R., Dalino, P., Ventura, L., Gambacorta, M., Dei Tos, A.P., Loli, P., Mannelli, M., Mantero, F., Berruti, A., Terzolo, M., Papotti, M. (2013), The reticulin algorithm for adrenocortical tumors diagnosis: a multicentric validation study on 245 unpiblished cases, American Journal of Surgical Pathology, 37, 1433-1440.
  77. Simonato, F., Ventura, L., Sartori, N., Cappellesso, R., Busund, L.T., Fassan, M., Fassina, A. (2013), Detection od MicroRNAs in archival cytology urine smears, PLOS ONE, 8(2): e57490.
  78. Turolla, A., Dam, M., Ventura, L., Tonin, P., Agostini, M., Zucconi, C.S., Kiper, P., Cagnin A., Piron, L.A. (2013), Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial, Journal of NeuroEngineering and Rehabilitation, 10:85.
  79. Cabras, S., Castellanos, M.E., Racugno, W., Ventura, L. (2012), A matching prior for the shape parameter of the skew-normal distribution, Scandinavian Journal of Statistics, 39, 236-247.
  80. Ventura, L., Racugno, W. (2012), On interval and point estimators based on a penalization of the modified profile likelihood, Statistics and Probability Letters, 82, 1285-1289.
  81. Farcomeni, A., Ventura, L. (2012), An overview of robust methods in medical research, Statistical Methods in Medical Research, 21, 111-133.
  82. Fassina, A., Marino, F., Siri, M., Zambello, R., Ventura, L., Fassan, M., Simonato, F., Cappellesso, R. (2012), The miR-17-92 microRNA cluster: a novel diagnostic tool in large B-cell malignancies, Laboratory Investigation, 92, 1574-1582.
  83. Fassina, A., Cappellesso, R., Guzzardo, V., Dalla Via, L., Piccolo, S., Ventura, L., Fassan, M. (2012), Epithelial-mesenchymal transition in malignant mesothelioma, Modern Pathology, 25, 86-99.
  84. Ventura, L., Racugno, W. (2011), Recent advances on Bayesian inference for P(X min Y), Bayesian Analysis, 6, 411-428.
  85. Pauli, F., Racugno, W., Ventura, L. (2011), Bayesian composite marginal likelihoods, Statistica Sinica, 21, 149-164.
  86. Pace, L., Salvan, A., Ventura, L. (2011), Adjustments of profile likelihood through predictive densities, Annals of the Institute of Statistical Mathematics, 63, 923-937.
  87. Pace, L., Salvan, A., Ventura, L. (2011), Remedying the Neyman-Scott phenomenon in model discrimination, Journal of Statistical Computation and Simulation, 81, 749-757.
  88. Greco, L., Ventura, L. (2011), Robust inference for the stress-strength reliability, Statistical Papers, 52, 773-788.
  89. Carraro, A., Scarpa, S., Paggiaro, A., Ventura, L. (2011), Uno studio di validazione e adattamento della Scala Multidimensionale di Vittimizzazione tra Pari, Giornale Italiano di Psicologia, XXXVIII, 177-188.
  90. Ventura, L., Cabras, S., Racugno, W. (2010), Default prior distributions from quasi- and quasi-profile likelihoods, Journal of Statistical Planning and Inference, 140, 2937-2942.
  91. Racugno, W., Salvan, A., Ventura, L. (2010), Bayesian analysis in regression models using pseudo-likelihoods, Communications in Statistics – Theory and Methods, 39, 3444-3455.
  92. Piron, L., Turolla, A., Zucconi, C., Agostini, M., Ventura, L., Tonin, P., Dam., M. (2010), Motor learning principles for rehabilitation: A pilot randomized controlled study in post-stroke patients, Neurorehabilitation and Neural Repair, 24, 501-508.
  93. Carraro, A., Scarpa, S., Ventura, L. (2010), Relationships between physical self-description and physical performance in a sample of Italian adolescents, Perceptual and Motor Skills, 2, 522-530.
  94. Ventura, L., Cabras, S., Racugno, W. (2009), Prior distributions from pseudo-likelihoods in the presence of nuisance parameters, Journal of the American Statistical Association, 104, 768-774.
  95. Greco, L., Ventura, L. (2009), Robust inference in composite transformation models, Metron, LXVII, 17-30.
  96. Piron, L., Turolla, A., Agostini, M., Zucconi, C., Cortese, F., Zampolini, M., Zannini, M., Dam, M., Ventura, L.,  Battauz, M., Tonin, P. (2009), Exercises for paretic upper limb after stroke: a combined virtual-reality and telemedicine approach, Journal of Rehabilitation Medicine, 41, 1016-1020.
  97. Fassina, A., Corradin, M., El Mazloum, R., Murer, B., Furlan, C., Montisci, M., Guolo, A., Ventura, L. (2009), Detection of silica particles in lung tissue by Environmental Scanning Electron Microscopy, Inhalation Toxicology, 21, 133-140.
  98. Santarelli, R., Magnavita, V., De Filippi, R., Ventura, L., Genovese, E., Arslan, E. (2009), Comparison of speech perception performance between Sprint/Esprit 3G and Freedom processors in children implanted with Nucleus cochlear implants, Otology & Neurotology, 30, 304-12.
  99. Bellio, R., Greco, L., Ventura, L. (2008), Adjusted quasi-profile likelihoods from estimating functions, Journal of Statistical Planning and Inference, 138, 3059-68.
  100. Greco, L., Racugno, W., Ventura L. (2008), Robust likelihood functions in Bayesian inference, Journal of Statistical Planning and Inference, 138, 1258-1270.
  101. Piron, L., Turolla, A., Dam., M., Zucconi, C., Agostini, Piccione, E., Pizzoni, B., Ventura, L., Tonin, P. (2008), Virtual environment vs conventional physical therapy for arm motor rehabilitation after stroke: a RCT study, European Journal of Physical and Rehabilitation Medicine, 44, 1–3.
  102. Pace, L., Salvan, A., Ventura, L. (2006), Likelihood based discrimination between separate scale and regression models, Journal of Statistical Planning and Inference, 136, 3539-53.
  103. Giummole’, F., Ventura, L. (2006), Robust prediction limits based on M-estimators, Statistics and Probability Letters, 76, 1735-1740.
  104. Greco, L., Ventura, L. (2006), Bounded estimation in the presence of nuisance parameters, Statistical Methods & Applications, 15, 27-36.
  105. Carraro, A., Mauro, L., Ventura, L. (2006), Giochi di lotta e aggressivita’: Un’esperienza nella scuola, Giornale Italiano dello Sport, 1, 51-56.
  106. Pace, L., Salvan, A., Ventura, L. (2004), The effects of rounding on likelihood procedures, Journal of Applied Statistics, 31, 29-48.
  107. Adimari, G., Ventura, L. (2002), Quasi-profile loglikelihoods for unbiased estimating functions, Annals of the Institute of Statistical Mathematics, 54, 235-244.
  108. Giummole’, F., Ventura, L. (2002), Practical point estimation from higher-order pivots, Journal of Statistical Computation and Simulation, 72, 419-430.
  109. Adimari, G., Ventura, L. (2002), Quasi-likelihood from M-estimators: A numerical comparison with empirical likelihood, Statistical Methods & Applications, 11, 175-185.
  110. Ronchetti, E., Ventura, L. (2001), Between stability and higher-order asymptotics, Statistics and Computing, 11, 67-73.
  111. Adimari, G., Ventura, L. (2001), Robust inference for generalized linear models with application to logistic regression, Statistics and Probability Letters, 55, 413-419.
  112. Giummole’, F., Ventura, L. (1999), A predictive density for semiparametric scale and location models, Statistica Applicata, 11, 235-250.
  113. Ventura, L. (1998), Higher-order approximations for Pitman estimators and for optimal compromise estimators, The Canadian Journal of Statistics, 26, 49-55.
  114. Ventura, L. (1996), A note on the asymptotic distribution of the Ozturk test, Metron, LIV, 223-229.

Books (in italian)

  1. Ventura, L., Racugno, W. (2017), Biostatistica. Casi di Studio in R, Egea, Milano.
  2. Grigoletto, M., Pauli, F., Ventura, L. (2017), Modello Lineare – Teroria e Applicazioni con R, Giappichelli, Torino.
  3. Bortot, P., Ventura, L., Salvan, A. (2000), Inferenza Statistica: Applicazioni con S-PLUS e R, Cedam, Padova.
  4. Grigoletto, M., Ventura, L. (1998), Statistica per le Scienze Economiche. Esercizi con Richiami di Teoria, Giappichelli, Torino.

International Proceedings

  1. Maffeis, V., Cappellesso, R., Galuppini, F., Boscolo, M., Ventura, L., Fassina, A. (2019), Tumour budding seems to be independent to ephitelial-mesenchymal transition in intestinal-type sinonasal adenocercinoma, VIRCHOWS ARCHIV, 475, S92-S93.
  2. Musio, M., Mameli, V., Ruli, E., Ventura, L. (2017), Bayesian inference for directional data Through ABC and homogeneous proper scoring rules, 61th ISI World Statistical Congress, Marrakech, to appear.
  3. Mameli, V., Musio, M., Ventura, L. (2015), Simulated adjustment of the signed scoring rule root statistic, 30th IWSM, Linz (Austria), July, 6-10, to appear.
  4. Ruli, E., Ventura, L., Racugno, W. (2013),  Approximate Bayesian inference based on modified log-likelihood ratios, 28th IWSM, Palermo, July, 8-12, 351-356.
  5. Ruli, E., Ventura, L. (2012), Bayesian approximation methods for pseudo-posterior distributions in the presence of nuisance parameters, 27th IWSM, Prague, July, 16-20.
  6. Ventura, L., Racugno, W. (2011), A Bayesian adjustment of the modified profile likelihood, 26th IWSM, Valencia, July, 11-15, 2011, 642-647.
  7. Cabras, S., Racugno, W., Ventura, L. (2010), Pseudo-Bayes factors, COMPSTAT 2010, Parigi, 22-27 agosto 2010, e-book (ISBN:9781605584959), 863-870.
  8. Lunardon, N., Pauli, F., Ventura, L. (2010), On empirical composite likelihoods,  COMPSTAT 2010, Parigi, 22-27 agosto 2010, e-book (ISBN:9781605584959), 1319-1326.
  9. Cabras, S., Racugno, W., Ventura, L. (2006), Bayesian inference on the scalar skew-normal distribution, COMPSTAT 2006, Roma, 28 agosto – 1 settembre 2006, 1373-1380.
  10. Greco, L., Ventura, L. (2004), Quasi-Likelihood ratio statistic for robust hypothesis testing in the presence of nuisance parameters, 19th IWSM, Firenze, July, 4-8, 2004, 420-424.
  11. Maniero, S., Ventura, L., Pietropaolo, F., Ventura, S. (2004), Statistical modelling for the time projection chamber signal processing: how can statistics improve detector performances?, 19th IWSM, Firenze, 4-8 July 2004, 450-454.
  12. Fonseca, G., Giummole’, F., Ventura, L. (2002), Improving maximum likelihood estimation in mixed linear models, 17th IWSM, Chania-Greece, July, 8-12, 2002, 265-269.
  13. Brazzale, A.R., Ventura, L. (2001), How robust is conditional inference?, 16th IWSM, Odense-Danimarca, July, 2-6, 2001, 417-420.
  14. Bellio, R., Brazzale, A.R., Ventura, L. (2001), Adjusted quasi-profile likelihoods and robustness, 16th IWSM, Odense-Danimarca, July, 2-6, 2001, 413-416.
  15. Giummole’, F., Ventura, L., Salvan, A. (2000), Estimating functions based on the modified directed likelihood, 15th IWSM, Bilbao, July, 17-21, 2000, 433-436.
  16. Giummole’, F., Ventura, L. (1999), Prediction limits for semiparametric scale and location models, 14th IWSM, Graz-Austria, July 19-23, 1999, 536-539.

National Proceedings

  1. Bortolato, E., Ventura, L. (2022), Confidence distributions and fusion inference for intractable likelihoods, Book of Short Papers SIS 2022, Caserta 2022, to appear.
  2. Mameli, V., Musio, M., Ruli, E., Ventura, L. (2020), Robust composite inference, Book of Short Papers SIS 2020, Pisa 2020, Pearson (ISBN, 9788891910776), 1332-1337.
  3. Ruli, E., Sartori, N., Ventura, L. (2018), Posterior distributions with non explicit objective priors, Atti della XLIX Riunione Scientifica della SIS, Palermo, 20-22 giugno 2018, to appear.
  4. Giummole’, F., Mameli, V., Ventura, L. (2016), Reference priors based on composite likelihoods, Atti della XLVIII Riunione Scientifica della SIS, Salerno, 8-10 giugno 2016, USB stick 1-6.
  5. Pinto, A., Ruli, E., Crovato, S., Ventura, L., Ravotto, L. (2016), Intalian consumers’ food risks perception: an approach based on the correspondence analysis, Atti della XLVIII Riunione Scientifica della SIS, Salerno, 8-10 giugno 2016, USB stick 1-6.
  6. Danesi, I.L., Piacenza, F., Ruli, E., Ventura, L. (2016), Optimal B-robust posterior distributions for operational risk, Atti della XLVIII Riunione Scientifica della SIS, Salerno, 8-10 giugno 2016, USB stick 1-6.
  7. Ruli, E., Sartori, N., Ventura, L. (2016), Approximate robust Bayesian inference with an application to linear mixed models, Atti della XLVIII Riunione Scientifica della SIS, Salerno, 8-10 giugno 2016,  USB stick 1-14.
  8. Danesi, I.L., Piacenza, F., Ruli, E., Ventura, L. (2015), Posterior distributions from optimally B-robust estimating functions and approximate Bayesian computation, Book of Abstracts CLADAG 2015, Santa Margherita di Pula, 8-10 october 2015, 464-467. 
  9. Ruli, E., Sartori, N., Ventura, L. (2014), Approximate Bayesian Computation with proper scoring rules, Atti della XLVII Riunione Scientifica della SIS, Cagliari, 11-13 giugno 2014, 1-4.
  10. Ruli, E., Ventura, L. (2013), Advances in approximate Bayesian computation with modified pseudo-likelihood roots, S.Co.2013, Milano, 9-11 september 2013, USB stick (ISBN:9788864930190), 1-6.
  11. Ventural, L., Ruli, E., Racugno, W. (2013), Default Bayesian inference for the consensus mean in inter-laboratory studies, S.Co.2013, Milano, 9-11 september 2013, USB stick (ISBN:9788864930190), 1-6.
  12. Ruli, E., Ventura, L. (2013), Bayesian marginal posterior simulation from the signed likelihood root: an application to the Cox regression model, Proceedings of the IX Conference of the Italian Biometric Society, Bressanone, 27-28 giugno 2013, 55-58.
  13. Ruli, E., Ventura, L. (2012), Modern Bayesian inference in Zero-Inflated Poisson models, Atti della XLVI Riunione Scientifica della SIS, Roma, 20-22 giugno 2012, USB stick (ISBN: 978-88-6129-882-8), 1-4.
  14. Ventura, L., Racugno, W. (2012), Higher-order asymptotics in Bayesian inference, Atti della XLVI Riunione Scientifica della SIS, Roma, 20-22 giugno 2012, USB stick (ISBN: 978-88-6129-882-8), 1-4.
  15. Ventura, L., Sartori, N., Racugno, W. (2011), A class of strong matching priors for higher-order Bayesian inference, S.Co.2011, Padova, 19-21 september 2011, USB stick (ISBN:9788861297531), 1-6.
  16. Lunardon, N., Greco, L., Ventura, L. (2011), Pairwise robust estimation of multivariate location and covariance, S.Co.2011, Padova, 19-21 september 2011, USB stick (ISBN:9788861297531), 1-6.
  17. Ventura, L., Racugno, W.,  (2011), Applied Bayesian small-sample asymptotics: applications in regression with continuous responses, Proceedings of the VIII National Meeting of the Italian Biometric Society, Gargnano del Garda (BS), 27-29 giugno 2011, 5-8.
  18. Ventura, L., Racugno, W.,  (2010), A note on the relationships between Bayesian and non-Bayesian predictive inference, Atti della XLV Riunione Scientifica della SIS, Padova, 16-18 giugno 2010, USB stick (ISBN:9788861295667), 1-8.
  19. Cortese, G., Ventura, L. (2009), Competing Risks Regression with Internal Time-Dependent Covariates, In: Proceedings of the VII National Meeting of the Italian Biometric Society, Ponte di Legno (Brescia), 10-12 june 2009, 49-52.
  20. Cabras, S., Castellanos, M.E., Racugno, W., Ventura, L. (2009), A matching prior for the shape parameter of the skew-normal distribution, S.Co.2009, Milano, 14-16 september 2009, 109-114.
  21. Cortese, G., Ventura, L. (2009), Likelihood asymptotics for the stress-strength model P(X min Y), S.Co.2009, Milano, 14-16 september 2009, 133-138.
  22. Lunardon, N., Ventura, L. (2009), A comparison of quasi-likelihood ratios for general estimating functions, S.Co.2009, Milano, 14-16 september 2009, 263-268.
  23. Pauli, F., Racugno, W., Ventura, L. (2008), Composite likelihoods in the Bayesian inference: an application, Atti della XLIV Riunione Scientifica della SIS, Arcavacata (CS), 25-27 giugno 2008, CD.
  24. Racugno, W., Salvan, A., Ventura, L. (2008), Pseudo-Bayesian analysis in regression models, Atti della XLIV Riunione Scientifica della SIS, Arcavacata (CS), 25-27 giugno 2008, CD.
  25. Greco, L., Ventura, L. (2007), Robust inference in the stress-strength model, S.Co.2007, Venezia, 6-8 settembre 2007, 266-271.
  26. Fassina, A., Corradin, M., Guolo, A., Ventura, L. (2007), A statistical assessment of silica levels and lung cancer, Atti della Riunione Intermedia 2007 della SIS, Venezia, 6-8 giugno 2007, 533-534.
  27. Greco, L., Ventura, L. (2006), Robust inference in presence of unsuspected correlation, Atti della XLIII Riunione Scientifica della SIS, Torino, 14-16 giugno 2006, 575-578.
  28. Greco, L., Racugno, W., Ventura, L. (2005), Accounting for model uncertainty in the inferential Bayesian setting, S.Co.2005, Bressanone, 15-17 settembre 2005, 257-262.
  29. Marras, E., Sartori, N., Ventura, L. (2005), Modified estimating equations in models with stratum nuisance parameters, S.Co.2005, Bressanone, 15-17 settembre 2005, 263-268.
  30. Greco, L., Ventura, L. (2004), Robustness and estimating equations in the presence of a nuisance parameter, Atti della XLII Riunione Scientifica della SIS, Bari, 9-11 giugno 2004, 221-224.
  31. Greco, L., Ventura, L. (2003), Bounded influence estimation of regression models in the presence of a shape parameter, S.Co.2003, Treviso, 4-6 settembre 2003, 235-240.
  32. Brazzale, A.R., Ventura, L. (2003), Considerazioni pratiche sugli stimatori di tipo M ottimali, Giornate Scientifiche in ricordo di Antonio C. Capelo, Cleup Editrice, Padova, 51-60.
  33. Brazzale, A.R., Ventura, L. (2002), Hampel estimation for estreme value distributions, Atti della XLI Riunione Scientifica della SIS, Milano, 5-7 giugno 2002, 613-616.
  34. Bellio, R., Ventura, L. (2001), Robust estimation of stochastic frontier models, In: Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione (a cura di C. Provasi), Cleup Padova, 175-180.
  35. Adimari, G., Ventura, L. (2000), On the robust inference for generalized linear models, Atti della XL Riunione Scientifica della SIS, Firenze, 26-28 aprile 2000, 641-644.
  36. Ventura, L. (1998), Inferenza condizionata in famiglie semiparametriche di scala e posizione, Atti della XXXIX Riunione Scientifica della SIS, Sorrento, 14-17 aprile 1998, 2, 817-824.
  37. Ventura, L. (1996), Intervalli di confidenza condizionati per i parametri di posizione e di scala delle curve normali di ordine s, Atti della XXXVIII Riunione Scientifica della SIS, Rimini, 9-13 aprile 1996, 2, 243-250.

Other Publications

  1. Greco, L., Ventura, L. (2006), Robust estimation of regression-scale and shape models, Annali della Facolta’ di Economia dell’Universita’ degli Studi del Sannio, Vol. XI, Sezione Statistico-Matematica.
  2. Carraro, A., Baroffio, R., Ventura, L. (2003), The use of physical activity in the treatment of patients with alcohol-related problems, Proceedings of the 8th Annual Congress European of Sport Science, Salisburgo, luglio 2003, 212.
  3. Giummole’, F., Ventura, L. (2001), Improved maximum likelihood estimation in nonlinear eteroscedastic models, Working Papers, n. 2001.15, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova. Presentato al COFIN’99 “Metodi di Inferenza Statistica per Problemi Complessi”, Bressanone (Bz) 2-4 novembre 2001.
  4. Brazzale, A.R., Ventura, L. (2001), A robust conditional approximation of marginal tail probabilities, Technical Report, 10/01, LADSEB-CNR, Padova, Italy.
  5. Ventura, L. (2001), Robust conditional inference for location parameters, Working Papers, 2001.14, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova. Presentato al Meeting del progetto Europeo “Geometry and Computer Algebra in Statistics and Probability”, Barcellona (Spagna), 16-20 settembre 1996.
  6. Diana, G., Ventura, L., Vidoni, P. (1997), A method for assessing asymptotic normality of a general goodness-of-fit test based on graphical representation, Working Papers, 1997.18, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova.
  7. Ventura, L. (1995), Estimation of the shape parameter of the exponential power function through the marginal likelihood, Working Papers, 1995.12, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova.
  8. Ventura, L. (1994), Approximate marginal likelihoods and approximate MPI tests for location-scale models, Working Papers, 1994.5, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova. Presentato alla Riunione “Inferenza Statistica: Basi probabilistiche e sviluppi metodologici”, Progetto MURST 40%, Udine 15-16 settembre 1994.
  9. Ventura, L. (1993), Concetti di pseudo-verosimiglianza, Rapporto Tecnico, 1993.2, Dipartimento di Scienze Statistiche, Universita’ degli Studi di Padova.
Dipartimento di Scienze Statistiche | Università degli studi di Padova