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Related Experiment Videos

CANSURV: A Windows program for population-based cancer survival analysis.

Binbing Yu1, Ram C Tiwari, Kathleen A Cronin

  • 1Information Management Services, Inc., 12501 Prosperity Dr. Suite 200, Silver Spring, MD 20904, USA.

Computer Methods and Programs in Biomedicine
|November 1, 2005
PubMed
Summary

Population-based cancer registries are crucial for monitoring patient survival. The CANSURV software analyzes cancer survival data using cure models, estimating cure proportions and latency distributions.

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Area of Science:

  • Oncology
  • Biostatistics
  • Cancer Epidemiology

Background:

  • Patient survival is a key indicator of cancer care quality.
  • Population-based cancer registries are essential for survival studies.
  • Mixture cure models estimate cancer cure proportions and latency distributions.

Purpose of the Study:

  • To introduce CANSURV, a Windows software for cancer survival analysis.
  • To demonstrate the application of cure models in population-based cancer survival data.
  • To analyze colorectal cancer survival data using the SEER program database.

Main Methods:

  • Utilized population-based cancer survival data from the SEER program.
  • Employed the CANSURV software to fit standard and mixture cure survival models.

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  • Analyzed both cause-specific and relative survival data.

    • Main Results:

    • CANSURV successfully fits standard and cure models to cancer survival data.
    • The software can analyze relative survival, a key metric in population studies.
    • Demonstrated the utility of CANSURV with colorectal cancer data.

    Conclusions:

    • CANSURV is a valuable tool for analyzing population-based cancer survival data.
    • The software facilitates the estimation of statistical cure proportions and latency.
    • CANSURV supports the assessment of cancer patient care through survival analysis.