Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Original language	English (Ireland)
Title of host publication	ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle, UK
DOIs	https://doi.org/https://hdl.handle.net/10468/14071
Publication status	Published - 2022

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@inproceedings{16d07a90b1ab4882a4d6e94731026603,

title = "Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer",

author = "Autumn O{\textquoteright}Donnell and Shirin Moghaddam and Michael Cronin and Eric Wolsztynski",

year = "2022",

doi = "https://hdl.handle.net/10468/14071",

language = "English (Ireland)",

booktitle = "ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle, UK",

}

Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer. / O’Donnell, Autumn; Moghaddam, Shirin; Cronin, Michael et al.
ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle, UK. 2022.

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer

AU - O’Donnell, Autumn

AU - Moghaddam, Shirin

AU - Cronin, Michael

AU - Wolsztynski, Eric

PY - 2022

Y1 - 2022

U2 - https://hdl.handle.net/10468/14071

DO - https://hdl.handle.net/10468/14071

M3 - Conference proceeding

BT - ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle, UK

ER -