Survival Analysis

Alfred DeMaris and Steven H. Selman
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Alfred DeMaris: Bowling Green State University
Steven H. Selman: University of Toledo, Department of Urology

Chapter Chapter 8 in Converting Data into Evidence, 2013, pp 137-159 from Springer

Abstract: Abstract This chapter takes up the topic of survival analysis, one of the most frequently employed statistical techniques in medical research. This is the statistical tool we use when we follow cases over time to see whether they experience a particular event. Because the event in question is often death, the period of time from inception of risk for the event until the occurrence of the event has come to be called survival time. And the technique has come to be known as survival analysis. However, in fields other than medicine it is also referred to as failure-time analysis, reliability analysis, duration analysis, or event history analysis (Allison 2010). The event in question need not just be death. In fact, any time we are interested in studying the length of time until occurrence of an event and how characteristics of cases affect that time, survival analysis is relevant. The event in question could be the development of prostate cancer (Pettaway et al. 2011), recurrence of prostate cancer after radical prostatectomy (O’Brien et al. 2010), the occurrence of heart failure (Khawaja et al. 2012), death within 90 days of radical cystectomy (Morgan et al. 2011), the development of incident dementia (Lieb et al. 2009), and so on.

Keywords: Prostate Cancer; Radical Prostatectomy; Survival Probability; Radical Cystectomy; Positive Surgical Margin (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-1-4614-7792-1_8

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