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Survival Analysis

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Regression Methods in Biostatistics

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

Children receiving a kidney transplant may be followed to identify predictors of mortality. Specifically, is mortality risk lower in recipients of kidneys obtained from a living donor? If so, is this effect explained by the time the transplanted kidney is in transport or how well the donor and recipient match on characteristics that affect immune response? Similarly, HIV-infected subjects may be followed to assess the effects of a new form of therapy on incidence of opportunistic infections. Or patients with liver cirrhosis may be followed to assess whether liver biopsy results predict mortality.

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Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, University of California, San Francisco, Parnassas Ave. 500 MU-420 West, 94143, San Francisco, California, USA

    Eric Vittinghoff, David V. Glidden & Stephen C. Shiboski

  2. Department of Epidemiology and Biostatistics, University of California, San Francisco, Berry 185 Suite 5700, 94107, San Francisco, California, USA

    Prof. Charles E. McCulloch

Authors
  1. Eric Vittinghoff
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  2. David V. Glidden
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  3. Stephen C. Shiboski
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  4. Prof. Charles E. McCulloch
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Vittinghoff, E., Glidden, D.V., Shiboski, S.C., McCulloch, C.E. (2012). Survival Analysis. In: Regression Methods in Biostatistics. Statistics for Biology and Health. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1353-0_6

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