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Quality of Life and Survival Analysis

  1. Manfred Olschewski

Published Online: 15 JUL 2005

DOI: 10.1002/0470011815.b2a11062

Encyclopedia of Biostatistics

Encyclopedia of Biostatistics

How to Cite

Olschewski, M. 2005. Quality of Life and Survival Analysis. Encyclopedia of Biostatistics. 6.

Author Information

  1. University of Freiburg, Freiburg, Germany

Publication History

  1. Published Online: 15 JUL 2005

Abstract

In clinical research, where time to a specific endpoint like, for example, death is of interest, methods of survival analysis are usually applied. In recent years, such research is more and more accompanied by the inclusion of the patients subjective assessment of treatment circumscribed by the term health-related quality of life (HQoL). In the analysis of HQoL, methods of longitudinal analysis of variance are adequate. In this chapter, we put emphasis on statistical analysis methods that allow a joint analysis of both quantity and quality of survival. The major approach here is defined by quality-adjusted survival (QAS) times. Conceptually, this means that the survival time of a patient is weighted according to his/her subjective assessment of that time. Advantages and limitations of such a joint analysis are discussed in relation to the separate analyses of the components.

Keywords:

  • quality of life;
  • survival analysis;
  • quality-adjusted survival time;
  • clinical trials;
  • longitudinal data analysis;
  • missing data