Surgical Oncology
Volume 19, Issue 2 , Pages 52-54 , June 2010

Concepts in cancer survival analysis: Research questions, data, and models

  • Ewout W. Steyerberg

      Affiliations

    • Dept. of Public Health, Erasmus MC, Rotterdam, The Netherlands
    • Corresponding Author InformationCorresponding author.
  • ,
  • Thomas A. Gerds

      Affiliations

    • Dept. of Biostatistics, University of Copenhagen, Copenhagen, Denmark

,Accepted 11 March 2010.

  • Image Result

    Survival functions for slowly increasing risk. The hazard ratio (HR) is 0.2.

    Survival functions for slowly increasing risk. The hazard ratio (HR) is 0.2.

  • Image Result

    Survival functions for rapidly increasing risk. The hazard ratio (HR) is 0.2.

    Survival functions for rapidly increasing risk. The hazard ratio (HR) is 0.2.

  • Image Result

    Multistate model describing the possible course of a patient after being disease free, e.g., after surgery with curative intent. The arrows indicate transition probabilities, which depend on time. a(t

    Multistate model describing the possible course of a patient after being disease free, e.g., after surgery with curative intent. The arrows indicate transition probabilities, which depend on time. a(t) and c(t) indicated transition probabilities from disease-free to relapse and dead respectively, while b(t) indicates the transition probability from disease-free to dead. With this model, we can e.g., compare the probability of dying in the initial state (disease-free) to the probability of dying in the relapse state, hypothesizing that b(t) > c(t).

PII: S0960-7404(10)00029-0

doi: 10.1016/j.suronc.2010.03.003

Surgical Oncology
Volume 19, Issue 2 , Pages 52-54 , June 2010