Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC).
Publication
, Conference
Das, R; Ou, F; Washburn, C; Innocenti, F; Nixon, A; Lenz, H; Blanke, C; Niedzwiecki, D; Khalil, I; Harms, B; Venook, A
Published in: Ann Oncol
July 2019
Duke Scholars
Published In
Ann Oncol
DOI
EISSN
1569-8041
Publication Date
July 2019
Volume
30 Suppl 4
Start / End Page
iv116
Location
England
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences
- 1112 Oncology and Carcinogenesis
Citation
APA
Chicago
ICMJE
MLA
NLM
Das, R., Ou, F., Washburn, C., Innocenti, F., Nixon, A., Lenz, H., … Venook, A. (2019). Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC). In Ann Oncol (Vol. 30 Suppl 4, p. iv116). England. https://doi.org/10.1093/annonc/mdz156.019
Das, R., F. Ou, C. Washburn, F. Innocenti, A. Nixon, H. Lenz, C. Blanke, et al. “Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC).” In Ann Oncol, 30 Suppl 4:iv116, 2019. https://doi.org/10.1093/annonc/mdz156.019.
Das R, Ou F, Washburn C, Innocenti F, Nixon A, Lenz H, et al. Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC). In: Ann Oncol. 2019. p. iv116.
Das, R., et al. “Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC).” Ann Oncol, vol. 30 Suppl 4, 2019, p. iv116. Pubmed, doi:10.1093/annonc/mdz156.019.
Das R, Ou F, Washburn C, Innocenti F, Nixon A, Lenz H, Blanke C, Niedzwiecki D, Khalil I, Harms B, Venook A. Bayesian machine learning on CALGB/SWOG 80405 (Alliance) and PEAK data identify a heterogeneous landscape of clinical predictors of overall survival (OS) in different populations of metastatic colorectal cancer (mCRC). Ann Oncol. 2019. p. iv116.
Published In
Ann Oncol
DOI
EISSN
1569-8041
Publication Date
July 2019
Volume
30 Suppl 4
Start / End Page
iv116
Location
England
Related Subject Headings
- Oncology & Carcinogenesis
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences
- 1112 Oncology and Carcinogenesis