Torna ai risultati della ricercaBando per assegno di ricerca
| Titolo del progetto di ricerca in italiano | Metodi bayesiani per studi clinici e osservazionali - BayesMeCOS international profile |
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| Titolo del progetto di ricerca in inglese | Bayesian Methods for Clinical and Observational Studies - BayesMeCOS international profile |
| Settore Concorsuale | 13 - Scienze economiche e statistiche |
| S.S.D | SECS-S/01 - STATISTICA |
| Descrizione sintetica in italiano | Traditional development of new drugs and biomarkers has followed the “one drug, one target disease” strategy, which is costly and inefficient and often leads to failure. Contrary to this strategy, we aim to create Bayesian Methods for Clinical and Observational Studies (BayesMeCOS) that study heterogene- ous populations, target several diseases, and test various treatments from the pre-clinical and clinical stages. We will provide flexible tools whose interest goes beyond the immediate scope of this proposal to improve precision medicine. Our proposed BayesMeCOS aim to speed up the drug development pro- cess while increasing power of results and biomarker discovery using adaptive randomization. First, we will create BayesMeCOS to facilitate the identification of subgroups of patients and biomarkers.We will use: (i) multi-study factor regression to integrate studies, learn covariate effects, and provide low-rank covariances for the common and study-specific factors |
| Descrizione sintetica in inglese | Traditional development of new drugs and biomarkers has followed the “one drug, one target disease” strategy, which is costly and inefficient and often leads to failure. Contrary to this strategy, we aim to create Bayesian Methods for Clinical and Observational Studies (BayesMeCOS) that study heterogene- ous populations, target several diseases, and test various treatments from the pre-clinical and clinical stages. We will provide flexible tools whose interest goes beyond the immediate scope of this proposal to improve precision medicine. Our proposed BayesMeCOS aim to speed up the drug development pro- cess while increasing power of results and biomarker discovery using adaptive randomization. First, we will create BayesMeCOS to facilitate the identification of subgroups of patients and biomarkers.We will use: (i) multi-study factor regression to integrate studies, learn covariate effects, and provide low-rank covariances for the common and study-specific factors |
| Data del bando | 09/10/2023 |
| Numero di assegnazioni per anno | 1 |
| Stanziamento annuale (indicativo) | 35.000 |
| Periodicità | 14 mesi |
| E' richiesta mobilità internazionale? | no |
| Paesi in cui può essere condotta la ricerca |
Italy |
| Paesi di residenza dei candidati |
OTHER |
| Nazionalità dei candidati |
OTHER |
| Sito web del bando | http://www.disia.unifi.it |
| Destinatari dell'assegno di ricerca (of target group) |
Experienced researcher or 4-10 yrs (Post-Doc) |
|---|---|
| Il contratto prevede la copertura delle prestazioni sociali? | yes |
| Importo annuale | 24.319 |
| Valuta | Euro |
| Comprende lo stipendio dell'assegnista | yes |
| Comprende vitto e spese di viaggio | no |
| Comprende il costo della ricerca | no |
| Nome dell'Ente finanziatore | Università degli Studi di Firenze |
|---|---|
| Tipologia dell'Ente | Public research |
| Paese dell'Ente | Italy |
| Città | Firenze |
| Codice postale | 50134 |
| Indirizzo | Viale Morgagni 59 |
| Sito web | http://www.disia.unifi.it |
| niccolo.saccardi@unifi.it | |
| Telefono | 055-2751500 |
| L'assegno finanziato/cofinanziato attraverso un EU Research Framework Programme? | No |
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| Data di scadenza del bando | 23/10/2023 - alle ore 00:00 |
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| Come candidarsi | Other |