A multinomial model for identifying significant pure-tone threshold shifts.
OBJECTIVE
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.


CONCLUSIONS
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.
Department of Speech-Language-Hearing Sciences, University of Minnesota, 115 Shevlin Hall, 164 Pillsbury Drive, SE, Minneapolis, MN 55455, USA. schla001@umn.edu
Robert S
RS
Schlauch
Edward
E
Carney
D001301:Audiometry, Pure-Tone / Q000379:methods*; D001309:Auditory Threshold / Q000502:physiology*; D006801:Humans; D015233:Models, Statistical; D009622:Noise / Q000517:prevention & control; D016273:Occupational Exposure / Q000009:adverse effects; D016272:Occupational Health; D013067:Speech Perception; D014481:United States; D014489:United States Occupational Safety and Health Administration