Medical cost analysis: Application to colorectal cancer data from the SEER Medicare database

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Incompleteness is a key feature of most survival data. Numerous well established statistical methodologies and algorithms exist for analyzing life or failure time data. However, induced censorship invalidates the use of those standard analytic tools for some survival-type data such as medical costs. In this paper, some valid methods currently available for analyzing censored medical cost data are reviewed. Some cautionary findings under different assumptions are envisioned through application to medical costs from colorectal cancer patients. Cost analysis should be suitably planned and carefully interpreted under various meaningful scenarios even with judiciously selected statistical methods. This approach would be greatly helpful to policy makers who seek to prioritize health care expenditures and to assess the elements of resource use.

Original languageEnglish (US)
Pages (from-to)586-597
Number of pages12
JournalContemporary Clinical Trials
Issue number5
StatePublished - Oct 2005
Externally publishedYes


  • Censoring
  • Colorectal cancer
  • Composite endpoints
  • Inverse probability weighting
  • Median regression
  • Medical cost

ASJC Scopus subject areas

  • Pharmacology


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