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)
- 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
- 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: