A systematic selection method for the development of cancer staging systems Journal Article

Authors: Lin, Y.; Chappell, R.; Gönen, M.; Lawson, A. B.; Lee, D.; MacNab, Y.
Article Title: A systematic selection method for the development of cancer staging systems
Abstract: The tumor-node-metastasis (TNM) staging system has been the anchor of cancer diagnosis, treatment, and prognosis for many years. For meaningful clinical use, an orderly, progressive condensation of the T and N categories into an overall staging system needs to be defined, usually with respect to a time-to-event outcome. This can be considered as a cutpoint selection problem for a censored response partitioned with respect to two ordered categorical covariates and their interaction. The aim is to select the best grouping of the TN categories. A novel bootstrap cutpoint/model selection method is proposed for this task by maximizing bootstrap estimates of the chosen statistical criteria. The criteria are based on prognostic ability including a landmark measure of the explained variation, the area under the receiver operating characteristic (ROC) curve, and a concordance probability generalized from Harrell's c-index. We illustrate the utility of our method by applying it to the staging of colorectal cancer. © The Author(s) 2013.
Keywords: survival analysis; cancer staging; bootstrap; model selection; tnm system
Journal Title: Statistical Methods in Medical Research
Volume: 25
Issue: 4
ISSN: 0962-2802
Publisher: Sage Publications  
Date Published: 2016-08-01
Start Page: 1438
End Page: 1451
Language: English
DOI: 10.1177/0962280213486853
PROVIDER: scopus
PMCID: PMC4250448
PUBMED: 23698866
Notes: Conference Paper -- Export Date: 3 October 2016 -- Source: Scopus
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  1. Mithat Gonen
    713 Gonen