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Clinical and Emergent Biomarkers and Their Relationship to the Prognosis of Ovarian Cancer
Author(s) -
Aminah Jatoi,
Robert A. Vierkant,
Kieran Hawthorne,
Matthew S. Block,
Susan J. Ramus,
Nicholas B. Larson,
Brooke L. Fridley,
Ellen L. Goode
Publication year - 2016
Publication title -
oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.987
H-Index - 98
eISSN - 1423-0232
pISSN - 0030-2414
DOI - 10.1159/000442710
Subject(s) - medicine , hazard ratio , ovarian cancer , oncology , malignancy , cancer , ascites , multivariate analysis , univariate analysis , confidence interval , proportional hazards model , prognostic variable , cohort , stage (stratigraphy) , gastroenterology , biology , paleontology
Ovarian cancer is the most lethal gynecological malignancy, but information relevant to prognosis and outcomes remain unknown. Here, we used statistical methods to focus specifically on interactions between candidate prognostic variables.

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