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Some Exploratory Tools for Survival Analysis

  • Conference paper
Proceedings of the First Seattle Symposium in Biostatistics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 123))

Abstract

Graphical and computer-intensive methods for exploring survival data are becoming more widely available, though perhaps not yet widely used. We review some recent developments in this area, including running quantile plots, local estimation of the relative risk function, and recursive partitioning. The use of Martingale residuals in some of these methods will be contrasted with other approaches. The methods are applied to data on patients with multiple myeloma treated on trials conducted by the Southwest Oncology Group.

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Authors
  1. John Crowley
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  2. Michael LeBlanc
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  3. Joth Jacobson
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  4. Sidney E. Salmon
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Editor information

Editors and Affiliations

  1. Department of Biostatistics, School of Public Health and Community Medicine, University of Washington, Box 357232, Seattle, WA, 91895, USA

    D. Y. Lin  & T. R. Fleming  & 

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© 1997 Springer-Verlag New York, Inc.

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Crowley, J., LeBlanc, M., Jacobson, J., Salmon, S.E. (1997). Some Exploratory Tools for Survival Analysis. In: Lin, D.Y., Fleming, T.R. (eds) Proceedings of the First Seattle Symposium in Biostatistics. Lecture Notes in Statistics, vol 123. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6316-3_11

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  • DOI: https://doi.org/10.1007/978-1-4684-6316-3_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94992-5

  • Online ISBN: 978-1-4684-6316-3

  • eBook Packages: Springer Book Archive

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