A novel approach to cancer staging

Application to esophageal cancer

Hemant Ishwaran, Eugene H. Blackstone, Carolyn Apperson-Hansen, Thomas W. Rice

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

A novel 3-step random forests methodology involving survival data (survival forests), ordinal data (multiclass forests), and continuous data (regression forests) is introduced for cancer staging. The methodology is illustrated for esophageal cancer using worldwide esophageal cancer collaboration data involving 4627 patients.

Original languageEnglish
Pages (from-to)603-620
Number of pages18
JournalBiostatistics
Volume10
Issue number4
DOIs
StatePublished - Oct 1 2009
Externally publishedYes

Fingerprint

Neoplasm Staging
Esophageal Neoplasms
Cancer
Ordinal Data
Methodology
Random Forest
Survival Data
Multi-class
Survival
Regression
Forests

Keywords

  • Predicted survival
  • Random forests
  • Survival curves
  • TNM

ASJC Scopus subject areas

  • Medicine(all)
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

A novel approach to cancer staging : Application to esophageal cancer. / Ishwaran, Hemant; Blackstone, Eugene H.; Apperson-Hansen, Carolyn; Rice, Thomas W.

In: Biostatistics, Vol. 10, No. 4, 01.10.2009, p. 603-620.

Research output: Contribution to journalArticle

Ishwaran, Hemant ; Blackstone, Eugene H. ; Apperson-Hansen, Carolyn ; Rice, Thomas W. / A novel approach to cancer staging : Application to esophageal cancer. In: Biostatistics. 2009 ; Vol. 10, No. 4. pp. 603-620.
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