Chapter

Modern Clinical Trial Analysis

Part of the series Applied Bioinformatics and Biostatistics in Cancer Research pp 1-23

Date:

Survival Analysis

  • Changyong FengAffiliated withDepartment of Biostatistics and Computational Biology, University of Rochester Email author 
  • , Yu HanAffiliated withDepartment of Biostatistics and Computational Biology, University of Rochester
  • , Pan WuAffiliated withDepartment of Biostatistics and Computational Biology, University of Rochester
  • , Xin TuAffiliated withDepartment of Biostatistics and Computational Biology, University of Rochester

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Survival analysis concerns the time from a well-defined origin to some end event, such as the time from surgery to death of a cancer patient, the time from wedding to divorce, time from layoff to finding a new job, and time between the first and second suicide attempts. Although originated in and driven much by research on lifetime, or survival of an object such as light bulbs and other electric devices in the early days, modern applications of survival analysis include many non-survival events such as the aforementioned examples. Thus, survival analysis may be more appropriately called the time-to-event analysis. However, in this chapter we continue to use the classic term survival analysis in our discussion of this statistical model and its applications.