Competing Risk Regression Models for Epidemiologic Data

Competing events can preclude the event of interest from occurring in epidemiologic data and can be analyzed by using extensions of survival analysis methods. In this paper, the authors outline 3 regression approaches for estimating 2 key quantities in competing risks analysis: the cause-specific relative hazard ((cs)RH) and the subdistribution relative hazard ((sd)RH). They compare and contrast the structure of the risk sets and the interpretation of parameters obtained with these methods. They also demonstrate the use of these methods with data from the Women's Interagency HIV Study established in 1993, treating time to initiation of highly active antiretroviral therapy or to clinical disease progression as…

• JH
  Johns Hopkins University
• NI
  National Institutes of Health

  Awards: K01-AI071754, U01-AI069918
• UO
  University of North Carolina at Chapel Hill
• JH
  Johns Hopkins Bloomberg School of Public Health