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Intermediate Clinical Events, Surrogate Markers and Survival

In: Lifetime Data: Models in Reliability and Survival Analysis

Author

Listed:
  • Myrto Lefkopoulou

    (Harvard School of Public Health, Dana-Farber Cancer Institute
    Harvard School of Public Health, Biostatistics Department)

  • Marvin Zelen

    (Harvard School of Public Health, Dana-Farber Cancer Institute
    Harvard School of Public Health, Biostatistics Department)

Abstract

This paper investigates one- and two-sample problems comparing survival times when an individual may experience an intermediate event prior to death or reaching some well defined endpoint. The intermediate event may be polychotomous. Patients experiencing the intermediate event may have an altered survival distribution after the intermediate event. Score tests are derived for testing if the occurrence of the intermediate event actually alters survival. These models have implications for evaluating therapies without randomization as well as strengthening the log rank test for comparing two survival distributions. The exact distribution of the score tests can be found by conditioning on both the waiting time and occurrence of the intermediate event.

Suggested Citation

  • Myrto Lefkopoulou & Marvin Zelen, 1996. "Intermediate Clinical Events, Surrogate Markers and Survival," Springer Books, in: Nicholas P. Jewell & Alan C. Kimber & Mei-Ling Ting Lee & G. A. Whitmore (ed.), Lifetime Data: Models in Reliability and Survival Analysis, pages 195-206, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-5654-8_26
    DOI: 10.1007/978-1-4757-5654-8_26
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