Methods for Censored Survival Time Data

Hang Lee
Additional contact information
Hang Lee: Massachusetts General Hospital, Department of Biostatistics

Chapter Chapter 7 in Foundations of Applied Statistical Methods, 2014, pp 121-124 from Springer

Abstract: Abstract This chapter deals with survival time data for which the inference cannot be made by any of the parametric and nonparametric methods that we learned in the past chapters. Typical survival time data type is time to event (e.g., time to death, time to treatment failure, time to disease relapse, time to recovery after surgery). The word “survival time” was originated from the time to death event. The survival time distribution commonly appears as nonsymmetrical and another unique feature of these data is censoring, which is difficult to deal with using the methods covered in the previous chapters. Some common statistical questions are: What is the probability that a subject in a group would survive longer than t years?; What is the median survival time of the group (i.e., what is the time point when half of the subjects would remain alive)?; and Are the survival time distributions significantly different between the two groups (i.e., did Group A survive longer than Group B on average, etc.)? This chapter lets you walk through two examples that illustrate the typical survival time data with censoring and how to tackle the data analysis problem.

Keywords: Survival Time Distribution; Past Chapters; Observed Event Times; Event Occurrence Rate; Statistical Testing Approach (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02402-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9783319024028

DOI: 10.1007/978-3-319-02402-8_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().