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Correction: On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees

  • The PLOS ONE Staff
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In the Abstract, there is an error in the ninth sentence of the paragraph. The correct sentence is: In the VCV trees, performance was predicted by the aided F0 encoding latency and the aided amplitude of peak VA in quiet for participants with PTAs ≥ 47 dB HL.

In the Results, there is an error in the third sentence of the paragraph. The correct sentence is: The regression trees for the BKB-SIN are shown in Fig 2, for the VCV in Fig 4, for the SSQ-Speech in Fig 5.

In the BKB-SIN trees subsection of the Results, there is an error in the fifth sentence of the paragraph. The correct sentence is: Fig 3 shows the relationship between BKB-SIN, PTA and aided latency of peak F.

The captions for Figs 35 are incorrectly switched. The correct captions have been provided here:

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Fig 3. Relationship between BKB-SIN, PTA and aided latency of peak F.

Missing peaks are indicated with crosses at 0 ms for graphical convenience. The colour code is the same as used in Fig 2.

https://doi.org/10.1371/journal.pone.0307864.g001

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Fig 4.

Regression trees for predicting the VCV SRT-50 using either F0 encoding measures (left tree) or speech-ABR peaks (right tree). Lat: latency; Amp: amplitude; A/Q: aided speech-ABRs in quiet. The colour code of the terminal nodes, from blue to red, indicates worsening in participant performance.

https://doi.org/10.1371/journal.pone.0307864.g002

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Fig 5.

Regression trees for predicting the SSQ-Speech score using either F0 encoding measures (left tree) or speech-ABR peaks (right tree). The colour code of the terminal nodes, from blue to red, indicates worsening in participant performance.

https://doi.org/10.1371/journal.pone.0307864.g003

The publisher apologizes for the errors.

Reference

  1. 1. Perugia E, BinKhamis G, Schlittenlacher J, Kluk K (2021) On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees. PLOS ONE 16(11): e0260090. https://doi.org/10.1371/journal.pone.0260090 pmid:34784399