Bayesian survival analysis of colorectal cancer registry data

Authors :: Jürgens, V
Timmer, A
Uslar, V
Eilermann, K
Tannapfel, A
Weyhe, D
Source :: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20170917-20170921; Oldenburg; DOCAbstr. 259 /20170829/
Publication Year :: 2017
Publisher :: German Medical Science GMS Publishing House, 2017.
Abstract: Introduction: Survival analysis provides several modeling approaches to analyze cancer registry data. Model choice depends on the underlying data. In colorectal cancer, prognosis strongly depends on radicality of the surgical therapy. The extent of lymph node metastasis can be described by the pN-classification,[for full text, please go to the a.m. URL]<br />62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Language :: English
Database :: OpenAIRE
Journal :: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20170917-20170921; Oldenburg; DOCAbstr. 259 /20170829/
Accession number :: edsair.doi.dedup.....7599df30fbc30e1d113c24ebfa49f6c8
Full Text :: https://doi.org/10.3205/17gmds128