Correction to: Scientific Reports https://doi.org/10.1038/s41598-022-07829-6, published online 08 March 2022
The original version of this Article contained an error in Figure 4, where an incorrect figure was displayed. The original Figure 4 and accompanying legend appear below.
Testing the predictive power of five biomarkers using receiver operating characteristic curve. Areas under the curve (AUC) and p values are indicated. Analysis was performed on ASD (n = 40) and healthy (n = 40) volunteers. PC1: first principal component scores computed in principal component analysis. Disc1: first discriminant scores computed in discriminant analysis. PProb predicted probability computed by binary logistic regression, K plasma potassium, Na plasma sodium, LDH plasma lactate dehydrogenase, GST plasma glutamate S-transferase, MRC1 mitochondrial respiratory chain complex I activity, PC1 the first principal component in principal component analysis. Figure was generated using IBM SPSS Statistics for Windows, Version 27.0, IBM Corp., Armonk, New York, https://www.ibm.com.
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Hassan, W.M., Al-Dbass, A., Al-Ayadhi, L. et al. Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis. Sci Rep 12, 19049 (2022). https://doi.org/10.1038/s41598-022-23620-z
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DOI: https://doi.org/10.1038/s41598-022-23620-z
