Figures
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 3–5 are incorrectly switched. The correct captions have been provided here:
Missing peaks are indicated with crosses at 0 ms for graphical convenience. The colour code is the same as used in Fig 2.
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.
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.
The publisher apologizes for the errors.
Reference
- 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
Citation: The PLOS ONE Staff (2024) Correction: On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees. PLoS ONE 19(7): e0307864. https://doi.org/10.1371/journal.pone.0307864
Published: July 23, 2024
Copyright: © 2024 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.