Monte Carlo simulation of the power of a test for the exponential distribution of survival times

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Abstract

An illustrative analysis is presented demonstrating the use of the Monte Carlo method in estimating the power of a test to detect deviations from distributional form. New estimates of power are obtained for the WE0 test, a statistical test used to assess a set of observed survival times for deviation from the exponential distribution. An IBM PC/AT was used to process a series of simulations, in which samples of survival times were drawn from a series of populations whose survival was distributed according to the gamma distribution. Each sample was then tested for difference from the exponential to see how often the WE0 test would correctly classify the sample as drawn from a non-exponential population.

Original languageEnglish (US)
Pages (from-to)245-250
Number of pages6
JournalComputer Methods and Programs in Biomedicine
Volume29
Issue number4
DOIs
StatePublished - Aug 1989

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Health Informatics

Keywords

  • Exponential distribution
  • Gamma distribution
  • Monte Carlo simulation
  • Statistical power
  • Survival analysis
  • WE test

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