Publication: 3135

Publication: 3135

Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identifies heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC)

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Citation:: Annals of Oncology vol 30 (Supplement_4) mdz156.019

Meeting Instance:: ESMO GI 2019
Year:: 2019
Type:: Abstract
Sub type:: Poster Discussion
Funding:: NCTN
Endpoint:: Secondary-not-in-original
Analysis:: Primary
Data Sharing:: No-Data-Sharing
Status:: Presented/Published
Citation Status:: epub

Note:

Methodological:: No
Biospecimen:: No
SDC:: No

Parents:: None
Children:: None

Program:: OGC
Primary Committee:: GI
Sec. Committees:

Pharmas:: Eli Lilly and Company, Genentech, Pfizer, Amgen
Grants:: U10CA180821, U10CA180882

Corr. Author:
Authors:: Rahul K Das Fang-Shu Ou Cecilia Washburn Andrew B. Nixon Federico Innocenti Heinz-Josef Lenz Charles Blanke Donna Niedzwiecki Eileen Mary O'Reilly Iya Khalil Boris Hayete Alan P. Venook

Networks:

Study: CALGB-80405
Multiple Studies, or Legacy Studies in Alliance Study:
Phases:: 3

Keywords: