Non-linear transformations of age at diagnosis, tumor size, and number of positive lymph nodes in prediction of clinical outcome in breast cancer

Non-linear transformations of age at diagnosis, tumor size, and number of positive lymph nodes in prediction of clinical outcome in breast cancer

Abstract Background Prognostic factors in breast cancer are often measured on a continuous scale, but categorized for clinical decision-making. The primary aim of this study was to evaluate if accounting for continuous non-linear effects of the three factors age at diagnosis, tumor size, and number...

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Bibliographic Details
Main Authors: Carina Forsare, Martin Bak, Anna-Karin Falck, Dorthe Grabau, Fredrika Killander, Per Malmström, Lisa Rydén, Olle Stål, Marie Sundqvist, Pär-Ola Bendahl, Mårten Fernö
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Cancer
Subjects:
Breast cancer
Prognostic
Categorical
Continuous
Fractional polynomials
Splines
Online Access:http://link.springer.com/article/10.1186/s12885-018-5123-x

Internet

http://link.springer.com/article/10.1186/s12885-018-5123-x

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