Cure models for the analysis of time-to-event data in cancer studies Journal Article

  


Authors: Jia, X.; Sima, C. S.; Brennan, M. F.; Panageas, K. S.
Article Title: Cure models for the analysis of time-to-event data in cancer studies
Abstract: In settings when it is biologically plausible that some patients are cured after definitive treatment, cure models present an alternative to conventional survival analysis. Cure models can inform on the group of patients cured, by estimating the probability of cure, and identifying factors that influence it; while simultaneously focusing on time to recurrence and associated factors for the remaining patients. J. Surg. Oncol. 2013; 108:342-347. © 2013 Wiley Periodicals, Inc. © 2013 Wiley Periodicals, Inc.
Keywords: survival analysis; soft tissue sarcoma; cure models
Journal Title: Journal of Surgical Oncology
Volume: 108
Issue: 6
ISSN: 0022-4790
Publisher: Wiley Blackwell  
Date Published: 2013-11-01
Start Page: 342
End Page: 347
Language: English
DOI: 10.1002/jso.23411
PROVIDER: scopus
PUBMED: 24037620
DOI/URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84886773894&partnerID=40&md5=7298667e763c04f730bcb7ee4c0e263b
Notes: --- - "Export Date: 2 December 2013" - "CODEN: JSONA" - "Source: Scopus"
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MSK Authors
  1. Camelia S Sima
    212 Sima
  2. Murray F Brennan
    1059 Brennan
  3. Xiaoyu Jia
    46 Jia
  4. Katherine S Panageas
    512 Panageas
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