Automated auditory response detection: statistical problems with repeated testing.
Sequential application of a statistical test is usually applied in an automated auditory response detection algorithm. The sequential test strategy is very time-efficient but increases the probability of a false rejection of the null-hypothesis. For this reason, it is necessary to correct the critic...
| Publicado en: | International Journal of Audiology Vol. 44; no. 2; pp. 110 - 118 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106497412&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106497412 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Feb2005 vid: 44 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106497412 2005119077 10.1080/14992020400029228 NLM15913159 106497412 ppf: 110 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Automated auditory response detection: statistical problems with repeated testing. aug: au: Stürzebecher E Cebulla M Elberling C affil: ENT Clinic, Faculty of Medicine, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany; stuerzebecher@em.uni-frankfurt.de sug: subj: Auditory Threshold Evaluation Evoked Potentials, Auditory, Brainstem Otoacoustic Emissions, Evoked Rescreening Descriptive Statistics Post Hoc Analysis Reliability Simulations Human ab: Sequential application of a statistical test is usually applied in an automated auditory response detection algorithm. The sequential test strategy is very time-efficient but increases the probability of a false rejection of the null-hypothesis. For this reason, it is necessary to correct the critical test value. However, the well-known Bonferroni correction leads to an over-correction when dealing with dependent or partly dependent data. The objective of the study reported here was to develop a method to determine the critical test value for the sequential testing of dependent data. Extensive Monte Carlo simulations were used to develop this method. The simulation results were reviewed and the benefit of the suggested method, in comparison to the Bonferroni correction, was shown using a large sample of real amplitude modulation following response data. The detection rate determined for these data and the ROC curve demonstrate the advantage of using the method suggested here. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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