ArticleDiagnostics (Basel, Switzerland)2024
Accuracy and Consistency of Confidence Limits for Monosyllable Identification Scores Derived Using Simulation, the Harrell-Davis Estimator, and Nonlinear Quantile Regression.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAudiological diagnosis and rehabilitation often involve the assessment of whether the maximum speech identification score (PB
methodThe 95% CL values were estimated using a simulation method, the Harrell-Davis (HD) estimator, and non-linear quantile regression (nQR); the latter two are both distribution-free methods. The first two methods require the formation of sub-groups with different PTAs. Accuracy and consistency in the estimation of the 95% CL were assessed by applying each method to many random samples of 50% of the available data and using the fitted parameters to predict the data for the remaining 50%. STUDY SAMPLE: A total of 642 participants aged 17 to 84 years with sensorineural hearing loss were recruited from audiology clinics. Pure-tone audiograms were obtained and PB
resultsFor the simulation method, 6.7 to 8.2% of the PB
conclusionsThe nQR method is recommended because it has good accuracy and consistency, and it does not require the formation of arbitrary PTA sub-groups.
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