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Correlation Between Test Statistics

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Planning and Analyzing Clinical Trials with Composite Endpoints

Part of the book series: Springer Series in Pharmaceutical Statistics ((SSPS))

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Abstract

It is evident that the composite endpoint is, by definition, correlated to its components as every event related to a component is also an event in the composite. This correlation might be incorporated in different ways in the planning stage and/or the analysis of the trial and is hence of general interest. Therefore, in this chapter the correlations between a composite and a single component and the correlation between two individual components are deduced for binary and time-to-event endpoints.

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References

  • Kay, R., & Schumacher, M. (1982). Unbiased assessment of treatment effects on disease recurrence and survival in clinical trials. Statistics in Medicine, 2, 127–161.

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Author information

Authors and Affiliations

  1. Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

    Geraldine Rauch

  2. Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany

    Svenja Schüler & Meinhard Kieser

Authors
  1. Geraldine Rauch
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  2. Svenja Schüler
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  3. Meinhard Kieser
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Rauch, G., Schüler, S., Kieser, M. (2017). Correlation Between Test Statistics. In: Planning and Analyzing Clinical Trials with Composite Endpoints. Springer Series in Pharmaceutical Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-73770-6_8

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