Salta al contenuto

Pubblicazioni (pagina personale)

Statistical and mathematical papers

 

  1. Cortese G., Scheike T.H. (2022). Efficient estimation of the marginal mean of recurrent events. Journal of the Royal Statistical Society: Series C, 71:1787-1821.
  2. Di Caterina C., Cortese G., Sartori N. (2019). Monte Carlo modified profile likelihood in models for clustered data. Electronic Journal of Statistics, 13:432-464. DOI: 10.1214/19-EJS1532  
  3. Cortese G., Holmboe S., Scheike T.H. (2017). Regression models for the restricted residual mean life for right-censored and left-truncated data. Statistics in Medicine, 36:1803-1822. DOI: 10.1002/sim.7222
  4. Feng D., Cortese G., Baumgartner R. (2017). A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size. Statistical Methods in Medical Research, 26:2603-2621. DOI: 10.1177/0962280215602040
  5. Cortese G. (2017). Estimating the area under the ROC curve with modified profile likelihoods. International Journal of Statistics and Probability, vol. 6 (1). DOI: 10.5539/ijsp.v6n1p1 
  6. Cortese C., Gandasi N.R., Barg S., Pedersen M.G. (2016). Statistical frailty modeling for quantitative analysis of exocytotic events recorded by live cell imaging: Rapid release of insulin-containing granules is impaired in human diabetic β-cell. PLoS One, 11(12). DOI:10.1371/journal.pone.0167282.
  7. Cortese G., Sartori N. (2016). Integrated likelihoods in survival models for highly-stratified censored data. Lifetime Data Analysis, 22:382-404.    
  8. Cortese G., Gerds T.H, Andersen P.K. (2013). Comparing predictions among competing risks models with time-dependent covariates. Statistics in Medicine, 32: 3089-3101, DOI: 10.1002/sim.5773.
  9. Cortese G., Ventura L. (2013). Accurate higher-order likelihood inference on P(Y < X). Computational Statistics, 28:1035-1059, DOI: 10.1007/s00180-012-0343-z.
  10. Pedersen M.G., Cortese G., Eliasson L. (2011). Mathematical modeling and statistical analysis of calcium-regulated insulin granule exocytosis in beta-cells from mice and humans. Progress in Biophysics and Molecular Biology, 107:257-264.
  11. Cortese G., Andersen PK. (2010). Competing risks and time-dependent covariates. Biometrical Journal, 52:138-158.
  12. Cortese G., Scheike T.H., Martinussen T. (2009). Flexible survival regression modelling. Statistical Methods in Medical Research, 19:5-28, DOI:10.1177/0962280209105022.
  13. Cortese G., Scheike T.H. (2008). Dynamic regression hazards models for relative survival. Statistics in Medicine, 27:3563-3584.
  14. Pedersen M.G., Bersani A.M., Bersani E., Cortese G. (2008). The total quasi-steady state approximation for complex enzyme reactions. Mathematics and Computers in Simulation, 79: 1010-1019, DOI: 10.1016/j.matcom.2008.02.009.
  15. De Gaetano A., Cortese G., Pedersen M.G., Panunzi S., Morelli A. (2004). Modeling serum creatinine in septic patients. Cardiovascular Engineering: An International Journal, 4:173-180.

 

 

Interdisciplinary papers

  1. Nicolè L., Sanavia T., Cappellesso R., Maffeis V., Akiba J., Kawahara A., Naito Y., Radu C.M., Simioni P., Serafin D., Cortese G., Guido M., Zanus G., Yano H., Fassina A. (2022). Necroptosis-driving genes RIPK1, RIPK3 and MLKL-p are associated with intratumoral CD3+ and CD8+ T cell density and predict prognosis in hepatocellular carcinoma. Journal for Immunotherapy of Cancer, 10(3):e004031. DOI: 10.1136/jitc-2021-004031
  2. De Luca G., Algowhary M., Uguz B., Oliveira DC., …., Cortese G., Parodi G., Bouraghda MA., Kedhi E., Lamelas P., Suryapranata H., Nardin M., Verdoia M., (2022). COVID-19 pandemic, mechanical reperfusion and 30-day mortality in ST elevation myocardial infarction, Heart, doi:10.1136/heartjnl-2021-319750
  3. De Luca G., Nardin M., Algowhary M., Uguz B., Oliveira D.C., …., Cortese G., Parodi G., Bouraghda M.A., Kedhi E., Lamelas P., Suryapranata H., Verdoia M. (2021). Renin-angiotensin system inhibitors and mortality among diabetic patients with STEMI undergoing mechanical reperfusion during the COVID-19 pandemic. Diabetes Epidemiology and Management, 4:100022. DOI: 10.1016/j.deman.2021.100022
  4. Veltri G., Silvestri G., Gallingani I, Sandei M., Vencato S., Lovisa F., Cortese G., Pillon M., Carraro E., Bresolin S., Biffi A., Basso G., Accordi B., Musolin L., Serafin V. (2021). Ruxolitinib as a Novel Therapeutic Option for Poor Prognosis T-LBL Pediatric Patients, Cancers, 13(15):3724, DOI: 10.3390/cancers13153724
  5. Santoiemma G., Battisti A., Gusella G., Cortese G., Tosi L., Gilioli G., Sperandio G., Ciampitti M., Cavagna B., Mori N. (2021). Chemical control of Popillia japonica adults on high-value crops and landscape plants of northern Italy. Crop Protection, 110:105808, DOI: 10.1016/j.cropro.2021.105808
  6. De Luca G., Cercek M., Okkels J.L., Bushljetikj O., …., Cortese G., Dirksen M.T., Parodi G., Verdoia M. (2021). Impact of renin-angiotensin system inhibitors on mortality during the COVID Pandemic among STEMI patients unedergoing mechanical reperfusion: Insight from an international STEMI registry. Biomedicine and Pharmacotherapy, 138:111469, DOI: 10.1016/j.biopha.2021.111469
  7. Fortunato L., Loreti A., Cortese G., Spallone D., Toto V., Cavaliere F., Farina M., La Pinta M., Manna E., Laura D., Pallara T. (2021). Regret and Quality of Life after Mastectomy with or without Reconstruction. Clinical Breast Cancer, 21:162-169, DOI: 10.1016/j.clbc.2019.11.005
  8. Liu P., Quinn R.R., Cortese G., Mahsin M., James M.T., Ronksley P.E., Quan H., Manns B., Hemmelgarn B.R., Tonelli M., Ravani P. (2021). Nephrology consultation and kidney failure in people with stage 4 chronic kidney disease: a population-based study. Journal of Nephrology, 34:1225-1234, DOI: 10.1007/s40620-020-00892-0.
  9. De Luca G., Cercek M., Okkels J.L., Vavlukis M., …., Cortese G., Moreno R., Parodi G., Kedhi E., Verdoia M. (2020). Impact of COVID-19 pandemic and diabetes on mechanical reperfusion in patients with STEMI: insights from the ISACS STEMI COVID 19 Registry, Cardiovascular Diabetology, 19(1):215, DOI: 0.1186/s12933-020-01196-0
  10. De Luca G., Verdoia M., Cercek M., Jensen L.O., Vavlukis M., Calmac L., . . ., Cortese G., Parodi G., Dudek D. (2020). Impact of COVID-19 pandemic on mechanical reperfusion for patients with STEMI. Journal of the American College of Cardiology, 76(20):2321-2330.
  11. Cortese G. (2020). How to use statistical models and methods for clinical prediction. Annals of Translational Medicine, 8(4):76. DOI: 10.21037/atm.2020.01.22.
  12. Montefusco F., Cortese G., Pedersen M.G. (2020). Heterogeneous alpha-cell population modeling of glucose-induced inhibition of electrical activity. Journal of Theoretical Biology, 485:110036. DOI: 10.1016/j.jtbi.2019.110036
  13. Serafin V., Porcù E., Cortese G., Maritto E., Veltri G., Bresolin S., Basso G., Accordi B. (2019). SYK Targeting Represents a Potential Therapeutic Option for Relapsed Resistant Pediatric ETV6-RUNX1 B-Acute Lymphoblastic Leukemia Patients. International Journal of Molecular Sciences, 20:6175. DOI: 10.3390/ijms20246175   
  14. Pedersen M.G. , Tagliavini A., Cortese G., Riz M., Montefusco F. (2017). Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells. Mathematical Biosciences, 283: 60-70. DOI: 10.1016/j.mbs.2016.11.010 
  15. Tumino M., Serafin V., Accordi B., Spadini S., Forest C., Cortese G., Lissandron V., Marzollo A., Basso G., Messina C. (2015). Interleukin-22 in the diagnosisof active chronic garft-versus-host disease in paediatric patients. British Journal of Haemetology, 168:142-145.
  16. De Luca G., Dirksen M.T., Spaulding C., Kelbæk H., Schalij M., Thuesen L., van der Hoeven B., Vink M.A., Kaiser C., Musto C., Chechi T., Spaziani G., Díaz de la Llera L.S., Pasceri V., Di Lorenzo E., Violini R., Cortese G., Suryapranata H., Stone G.W (2012). Drug-eluting vs bare-metal stents in primary angioplasty: a pooled patient-level meta-analysis of randomized trials. Archives of Internal Medicine, 172:611-21.
  17. Fortunato L., Mascaro A., Poccia I., Andrich R., Amini M., Costarelli L., Cortese G., Farina M., Vitelli C. (2012). Lobular breast cancer: same survival and local control compared to ductal cancer, but should both be treated the same way? Analysis of an institutional database over a 10-year period. Annals of Surgical Oncology, 19:1107-14.
  18. Di Lorenzo E., Sauro R., Varricchio A., Carbone G., Cortese G., Capasso M., Lanzillo T., Manganelli F., Mariello C., Siano F., Pagliuca MR., Stanco G., Rosato G., De Luca G. (2009). Long-term benefits of drug-eluting stents as compared to BMS in STEMI. Five-year results of The PaclitAxel or Sirolimus-Eluting Stent vs Bare Metal Stent in primary angioplasty (PASEO) randomized trial. Circulation, 120: 964-972.
  19. Fortunato L., Mascaro A., Baldi A., Farina M., Cortese G., Ventrone MA., Amini M., Vitelli C. (2009). Positive Bone Marrow Biopsy is Associated with a Decreased Disease-Free Survival in Patients with Breast Cancer. Annals of Surgical Oncology, 16: 3019-9, DOI:10.1245/s10434-009-0619-x.
  20. Ryberg M., Nielsen D., Cortese G., Nielsen G., Andersen P.K., Skovsgaard T. (2008). New insight in epirubicin cardiac toxicity. Competing risks analysis of 1097 breast cancer patients. Journal of National Cancer Institute, 100:1058-1067.
  21. Morelli A., Rocco M., Conti G., Alessandra O., De Gaetano A., Cortese G., Pelaia P., Pietropaoli P. (2004). Effects of Terlipressin on systemic and regional haemodinamics in catecholamine – treated hyperkinetic septic shock. Intensive Care Medicine, 30:597-604.
  22. Ruzzo A, Graziano F, Costagliola A, Arduini F, Testa E, Bearzi I, Cortese G, De Gaetano A, Andreoni F, Lai V, Magnani M. (2003). The G/A nucleotide change at cDNA position 2494 in the E-cadherin gene (CDH1): analysis in Italian patients. Tumour Biology, 24:147-50.

 

 

PhD Thesis

 

Cortese G. (2008). Dynamic models for competing risks and relative survival. PhD Thesis. Department of Statistical Sciences, University of Padova, Italy   (http://paduaresearch.cab.unipd.it/1015/).

 

 

Book chapters:

 

Cortese G. (2010). Dynamic models for competing risks and relative survival.  In: PhD Theses in Statistics and Applications: Book of Short Papers.

 

 

Proceedings:

Haque , Cortese G. (2021). Sample Size Computation for Competing Risks Survival Data in G-S-Design. In: SIS 2021, Book of Short Papers, Editors: Perna C., Salvati N., Schirripa S. Società Italiana di Statistica, ISBN: 9788891927361.

Cortese G., Scheike T.H. (2017).  Regression models for the restricted residual mean time for right-censored and left-truncated data. In: CLADAG 2017 Book of short papers, F. Greselin, F. Mola, Ma. Zenga Editors, Universitas Studiorum, ISBN: 978-88-99459-71-0. 

Phan T.H., Cortese G. (2017). Spatial survival models for analysis of exocytotic events on human beta-cells recorded by tIRF imaging. In: CLADAG 2017 Book of short papers, F. Greselin, F. Mola, Ma. Zenga Editors, Universitas Studiorum, ISBN: 978-88-99459-71-0.  

Di Caterina C., Cortese G., Sartori N. (2017). Monte Carlo modified profile likelihood in survival models for clustered censored data. In: Proceedings of the 32nd International Workshop on Statistical Modelling, vol. II, p. 193-196, Groningen, Netherlands, 3-7 luglio 2017.

Cortese G., Ventura, L. (2009). Likelihood asymptotics for the stress-strength model P(Y < X). Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction, Milan, 14-16 September 2009, 133-138.  

 

Cortese G., Ventura, L. (2009). Competing Risks Regression with Internal Time-Dependent Covariates. Atti del VII Congresso Nazionale della So- cietà Italiana di Biometria (SIB 2009), Ponte di Legno (BS), 10-12 giugno 2009, 49-52. 

 

Dipartimento di Scienze Statistiche | Università degli studi di Padova