A multinomial model for identifying significant pure-tone threshold shifts

Robert S. Schlauch, Edward Carney

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Purpose: Significant threshold differences on retest for pure-tone audiometry are often evaluated by application of ad hoc rules, such as a shift in a pure-tone average or in 2 adjacent frequencies that exceeds a predefined amount. Rules that are so derived do not consider the probability of observing a particular audiogram. Methods: A general solution for evaluating threshold differences on retest was developed on the basis of multinomial probabilities. The model uses the standard deviation of inter-test differences for 1 frequency as a parameter of the underlying Gaussian distribution of test results. The number of test frequencies, the categories of threshold change, and the probability of each category's occurrence are used to calculate the probability that a given pattern of threshold differences on retest (or 1 rarer) could occur by chance. Results: The multinomial model was compared with 2 other methods for identifying threshold shifts in persons exposed to high sound pressure levels during concerts. The multinomial model identified the same audiograms as the ad hoc methods. Conclusion: Tables developed using a multinomial model can provide a clinical tool for evaluating audiograms by identifying statistically significant patterns of test-retest differences in hearing thresholds.

Original languageEnglish (US)
Pages (from-to)1391-1403
Number of pages13
JournalJournal of Speech, Language, and Hearing Research
Issue number6
StatePublished - Dec 1 2007


  • Audiograms
  • Noise-induced hearing loss
  • Occupational Safety and Health Administration (OSHA)
  • Pure-tone air conduction thresholds


Dive into the research topics of 'A multinomial model for identifying significant pure-tone threshold shifts'. Together they form a unique fingerprint.

Cite this