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. 2023 Jan 11;131(1):019001. doi: 10.1289/EHP12564

Erratum: “A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods”

Drew B Day , Sheela Sathyanarayana, Kaja Z LeWinn, Catherine J Karr, W Alex Mason, Adam A Szpiro
PMCID: PMC9833480  PMID: 36630293

In the Discussion, in the third paragraph of the “Comparing Simulation Results to Prior Evaluations of Mixture Exposure Model Performance” section, the authors stated, “Furthermore, the mixture component-specific coefficients estimated by quantile g-computation were far more biased than those of any of the WQSr models.” Given that the mean absolute percent error (MAPE) that the authors used in their analyses assesses accuracy rather than bias, the correct statement should be as follows: “Furthermore, the mixture component-specific coefficients estimated by quantile g-computation were far less accurate than those of any of the WQSr models.”

The authors regret the error.

Environ Health Perspect. 130(8):087010 (2022), https://doi.org/10.1289/EHP10570


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