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Applying Survival Data Methodology to Analyze Longitudinal Quality of Life Data

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Book cover Statistical Methods for Quality of Life Studies

Abstract

In metastatic cancer studies, the deterioration of the patient’s health status is often observed during the trial either because of the toxicity of treatment or the progression of disease. This deterioration is very likely to be reflected in the patient’s quality of life. Therefore, when analyzing the global health status/quality-of-life (QL) score of the EORTC QLQ-C30 instrument, an event, QL deterioration can be defined in terms of health states. Deterioration could be characterized by an absorbing state (similar to death when analyzing survival time). We define only two kinds of events, so repeated measures of QL are easily converted into time-to-event data, and the Kaplan-Meier method and log-rank tests can be used for analysis. We apply this methodology to data from a clinical trial of treatments for metastatic colorectal cancer.

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Awad, L., Zuber, E., Mesbah, M. (2002). Applying Survival Data Methodology to Analyze Longitudinal Quality of Life Data. In: Mesbah, M., Cole, B.F., Lee, ML.T. (eds) Statistical Methods for Quality of Life Studies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3625-0_18

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  • DOI: https://doi.org/10.1007/978-1-4757-3625-0_18

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5207-3

  • Online ISBN: 978-1-4757-3625-0

  • eBook Packages: Springer Book Archive

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