DE VITO, ROBERTA
DE VITO, ROBERTA
DIPARTIMENTO DI SCIENZE STATISTICHE
A Bayesian nonparametric model for spatial clustering
2026 Gallucci, Lucia; Zorzetto, Dafne; Maraschini, Alice; De Vito, Roberta; Jona Lasinio, Giovanna
A Tutorial on Bayesian Multi-Study Factor Analysis With Applications in Nutrition and Genomics
2026 Lian, Mavis; Hansen, Blake; Zorzetto, Dafne; De Vito, Roberta
AB0035 A physiological network of igg autoantibodies targeting g protein coupled receptors
2018 Marques, Oc; Marques, A; De Vito, R; Giil, Lm; Rademacher, J; Günther, J; Marschner, G; Pitann, S; Adler, S; Dragun, D; Lamprecht, P; Müller, A; Yu, X; Petersen, F; Heidecke, F; Engelhardt, Be; Riemekasten, G
AB0286 BENEFICIAL EFFECT OF OLIVES AND OLIVE OIL CONSUMPTION ON RHEUMATOID ARTHRITIS DISEASE ACTIVITY
2022 Ingegnoli, F; De Vito, R; Caporali, R; Parpinel, M; Grosso, G; Ferraroni, M; Edefonti, V
Abstract EP02: Identification Of Genetic Signals For “Diabesity” --- Type 2 Diabetes And Obesity -- Among African American And European American Participants In Four Cohorts Of The TOPMed Consortium
2022 Chan, Khk; Liu, Q; Reiner, Ap; De Vito, R; Et, Al
Alterations in the humoral immunophenotype in sickle cell disease
2025 Vistica Sampino, E.; Bonal, D. M.; Chorzalska, A.; Morgan, J.; Nguyen, L.; Yu, C.; Rodriguez, A.; De Vito, R.; Pels, S.; Sprinz, P. G.; Mcgann, P.; Lulla, R. R.; Dubielecka, P. M.
Altered gut-liver axis and hepatic adiponectin expression in OSAS:Novel mediators of liver injury in paediatric non-alcoholic fatty liver
2015 Nobili, V; Alisi, A; Cutrera, R; Carpino, G; De Stefanis, C; D'Oria, V; DE VITO, Roberta; Cucchiara, S; Gaudio, E; Musso, G.
Analysis of mutational signatures in multiple cancer studies: Recent Bayesian tools
2026 De Vito, Roberta; Hanse, Blake; Trippa, Lorenzo; Parmigiani, Giovanni
Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects
2026 Dafne , Zorzetto; Emma , Landry ; Michele , Guindani ; Donatello , Telesca; Valeria , Edefonti; Roberta , ; Vito, De; , ; Falco J., ; Bargagli-Stoffi,
Bayesian combinatorial MultiStudy factor analysis
2023 Grabski, In; De Vito, R; Trippa, L; Parmigiani, G
Bayesian multi-study factor model
2016 De Vito, Roberta; L., Trippa; Bellio, Ruggero; G., Parmigiani
Bayesian multistudy factor analysis for high-throughput biological data
2021 De Vito, R; Bellio, R; Trippa, L; Parmigiani, G
Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
2026 Hansen, Blake; Grabski, Isabella N.; Parmigiani, Giovanni; De Vito, Roberta
Bayesian Statistics, New Generations New Approaches: BAYSM 2022, Montréal, Canada, June 22–23
2023 Avalos-Pacheco, A; De Vito, R; Maire, F
Best poster prize in Reproducibility in Personalized Medicine Research
2016 De Vito, Roberta
Boil water alerts and their impact on the unexcused absence rate in public schools in Jackson, Mississippi
2023 Kim, M; De Vito, R; Et, Al.
Comparative flow cytometry-based immunophenotyping analysis of peripheral blood leukocytes before and after fixation with paraformaldehyde
2022 Vistica Sampino, E; Morgan, J; Chorzalska, A; Nguyen, L; Yu, C; Rodriguez, A; Pardo, M; Bonal, D; Liang, O; Kim, M; De Vito, R; Lulla, Rr; Dubielecka, Pm
Contributed Discussion on: Centered Partition Processes: Informative Priors for Clustering by Paganin, S., Herring, A.H., Olshan A.F., Dunson, D.B
2021 Avalos-Pacheco, A; De Vito, R; Wade, S
Cross‐sectional analysis reveals autoantibody signatures associated with COVID‐19 severity
2023 Baiocchi, Gc; Vojdani, A; Rosenberg, Az; Vojdani, E; Halpert, G.; Ostrinski, Y; Zyskind, I.; Filgueiras, Is; Schimke, Lf; Marques, Ahc; Giil, Lm; Lavi, Yb; Silverberg, Ji; Zimmerman, J; Hill, Da; Thornton, A; Kim, M; De Vito, R; Et, Al
Determinants of COVID-19 Infection Among Employees of an Italian Financial Institution
2024 De Vito, R; Menzio, M; Lacqua, P; Castellari, S; Colognese, A; Collatuzzo, G; Russignaga, D; Boffetta, P
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bayesian nonparametric model for spatial clustering | 2026 | Gallucci, Lucia; Zorzetto, Dafne; Maraschini, Alice; De Vito, Roberta; Jona Lasinio, Giovanna | |
| A Tutorial on Bayesian Multi-Study Factor Analysis With Applications in Nutrition and Genomics | 2026 | Lian, Mavis; Hansen, Blake; Zorzetto, Dafne; De Vito, Roberta | |
| AB0035 A physiological network of igg autoantibodies targeting g protein coupled receptors | 2018 | Marques, Oc; Marques, A; De Vito, R; Giil, Lm; Rademacher, J; Günther, J; Marschner, G; Pitann, S; Adler, S; Dragun, D; Lamprecht, P; Müller, A; Yu, X; Petersen, F; Heidecke, F; Engelhardt, Be; Riemekasten, G | |
| AB0286 BENEFICIAL EFFECT OF OLIVES AND OLIVE OIL CONSUMPTION ON RHEUMATOID ARTHRITIS DISEASE ACTIVITY | 2022 | Ingegnoli, F; De Vito, R; Caporali, R; Parpinel, M; Grosso, G; Ferraroni, M; Edefonti, V | |
| Abstract EP02: Identification Of Genetic Signals For “Diabesity” --- Type 2 Diabetes And Obesity -- Among African American And European American Participants In Four Cohorts Of The TOPMed Consortium | 2022 | Chan, Khk; Liu, Q; Reiner, Ap; De Vito, R; Et, Al | |
| Alterations in the humoral immunophenotype in sickle cell disease | 2025 | Vistica Sampino, E.; Bonal, D. M.; Chorzalska, A.; Morgan, J.; Nguyen, L.; Yu, C.; Rodriguez, A.; De Vito, R.; Pels, S.; Sprinz, P. G.; Mcgann, P.; Lulla, R. R.; Dubielecka, P. M. | |
| Altered gut-liver axis and hepatic adiponectin expression in OSAS:Novel mediators of liver injury in paediatric non-alcoholic fatty liver | 2015 | Nobili, V; Alisi, A; Cutrera, R; Carpino, G; De Stefanis, C; D'Oria, V; DE VITO, Roberta; Cucchiara, S; Gaudio, E; Musso, G. | |
| Analysis of mutational signatures in multiple cancer studies: Recent Bayesian tools | 2026 | De Vito, Roberta; Hanse, Blake; Trippa, Lorenzo; Parmigiani, Giovanni | |
| Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects | 2026 | Dafne , Zorzetto; Emma , Landry ; Michele , Guindani ; Donatello , Telesca; Valeria , Edefonti; Roberta , ; Vito, De; , ; Falco J., ; Bargagli-Stoffi, | |
| Bayesian combinatorial MultiStudy factor analysis | 2023 | Grabski, In; De Vito, R; Trippa, L; Parmigiani, G | |
| Bayesian multi-study factor model | 2016 | De Vito, Roberta; L., Trippa; Bellio, Ruggero; G., Parmigiani | |
| Bayesian multistudy factor analysis for high-throughput biological data | 2021 | De Vito, R; Bellio, R; Trippa, L; Parmigiani, G | |
| Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures | 2026 | Hansen, Blake; Grabski, Isabella N.; Parmigiani, Giovanni; De Vito, Roberta | |
| Bayesian Statistics, New Generations New Approaches: BAYSM 2022, Montréal, Canada, June 22–23 | 2023 | Avalos-Pacheco, A; De Vito, R; Maire, F | |
| Best poster prize in Reproducibility in Personalized Medicine Research | 2016 | De Vito, Roberta | |
| Boil water alerts and their impact on the unexcused absence rate in public schools in Jackson, Mississippi | 2023 | Kim, M; De Vito, R; Et, Al. | |
| Comparative flow cytometry-based immunophenotyping analysis of peripheral blood leukocytes before and after fixation with paraformaldehyde | 2022 | Vistica Sampino, E; Morgan, J; Chorzalska, A; Nguyen, L; Yu, C; Rodriguez, A; Pardo, M; Bonal, D; Liang, O; Kim, M; De Vito, R; Lulla, Rr; Dubielecka, Pm | |
| Contributed Discussion on: Centered Partition Processes: Informative Priors for Clustering by Paganin, S., Herring, A.H., Olshan A.F., Dunson, D.B | 2021 | Avalos-Pacheco, A; De Vito, R; Wade, S | |
| Cross‐sectional analysis reveals autoantibody signatures associated with COVID‐19 severity | 2023 | Baiocchi, Gc; Vojdani, A; Rosenberg, Az; Vojdani, E; Halpert, G.; Ostrinski, Y; Zyskind, I.; Filgueiras, Is; Schimke, Lf; Marques, Ahc; Giil, Lm; Lavi, Yb; Silverberg, Ji; Zimmerman, J; Hill, Da; Thornton, A; Kim, M; De Vito, R; Et, Al | |
| Determinants of COVID-19 Infection Among Employees of an Italian Financial Institution | 2024 | De Vito, R; Menzio, M; Lacqua, P; Castellari, S; Colognese, A; Collatuzzo, G; Russignaga, D; Boffetta, P |