Prediction intervals for survival data

Ron Brookmeyer

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper concerns large sample prediction intervals for the survival times of a future sample based on an initial sample of censored survival data. Simple procedures are developed for obtaining non‐parametric and exponential prediction intervals for the future sample quantiles; the non‐parametric interval results from inversion of an appropriate test statistic. A simulation study performed under various conditions evaluates the accuracy of the proposed intervals. An adjuvant chemotherapy study of breast cancer patients illustrates the methodology.

Original languageEnglish (US)
Pages (from-to)485-495
Number of pages11
JournalStatistics in Medicine
Volume2
Issue number4
DOIs
StatePublished - 1983
Externally publishedYes

Keywords

  • Censoring
  • Prediction intervals
  • Quantiles
  • Survival analysis

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Prediction intervals for survival data'. Together they form a unique fingerprint.

Cite this