Machine learning methodologies for modelling of time-to-event endpoints in prostate cancer
| dc.contributor.author | O'Donnell, Autumn | |
| dc.contributor.author | Moghaddam, Shirin | |
| dc.contributor.author | Cronin, Michael | |
| dc.contributor.author | Wolsztynski, Eric | |
| dc.contributor.funder | Science Foundation Ireland | en |
| dc.date.accessioned | 2023-01-17T12:05:08Z | |
| dc.date.available | 2023-01-17T12:05:08Z | |
| dc.date.issued | 2022-08 | |
| dc.date.updated | 2023-01-17T11:58:54Z | |
| dc.description.sponsorship | Science Foundation Ireland (12/RC/2289-P2_ | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | O'Donnell, A., Moghaddam, S., Cronin, M. and Wolsztynski, E. (2022) ‘Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer’, ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics Newcastle, UK, 21-25 Aug. | en |
| dc.identifier.uri | https://hdl.handle.net/10468/14071 | |
| dc.language.iso | en | en |
| dc.relation.ispartof | ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics | |
| dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en |
| dc.rights | © 2022 | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Prostate cancer | en |
| dc.subject | Radical prostatectomy (RP) | en |
| dc.subject | Biochemical recurrence (BCR) | en |
| dc.subject | Biostatistics | en |
| dc.title | Machine learning methodologies for modelling of time-to-event endpoints in prostate cancer | en |
| dc.type | Conference item | en |
