Multiple Events per Subject

  • Terry M. Therneau
  • Patricia M. Grambsch
Part of the Statistics for Biology and Health book series (SBH)

Abstract

There is increasing interest, and need, to apply survival analysis to data sets with multiple events per subject. This includes both the cases of multiple events of the same type, and events of different types. Examples of the former would be recurrent infections in AIDS patients or multiple infarcts in a coronary study. Examples of the latter are the use of both survival and recurrence information in cancer trials, or multiple sequelae (toxicity, worsening symptoms, etc.) in the management of chronic disease. With the increasing emphasis on quality of life, rehospitalization, and other secondary endpoints such analyses will become more common.

Keywords

Primary Biliary Cirrhosis Multiple Event Chronic Granulomatous Disease Baseline Hazard Conditional Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Terry M. Therneau
    • 1
  • Patricia M. Grambsch
    • 2
  1. 1.Department of Health Sciences ResearchMayo ClinicRochesterUSA
  2. 2.Division of Biostatistics, School of Public HealthUniversity of MinnesotaMinneapolisUSA

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