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Issues for analyzing competing risk data with missing or missclassification in causes


  • Ronny Westerman

    () (Philipps-University of Marburg)

  • Ulrich Mueller


Competing Risks Models have a various field of application in medical and public health studies. A challenging clue for applying cause-specific survival models yield on the problem of missing and misclassification in cause of death. The masked cause of death is related to incomplete or only partial identifiable information of death certificates. In this paper I will introduce some alternative issues for competing risk models with some implemented STATA commands and also will discuss some limitations on some hands-on examples.Another purpose should be the introduction of some more sophisticated tools for modeling the long-term survival function in terms of competing risks. Data Analysis will be provide with free-accessible SEER-DATA from National Institute of Cancer, so anyone should be able to follow my demonstrations.

Suggested Citation

  • Ronny Westerman & Ulrich Mueller, 2012. "Issues for analyzing competing risk data with missing or missclassification in causes," SAN12 Stata Conference 15, Stata Users Group.
  • Handle: RePEc:boc:scon12:15

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