Response to "Comment on 'A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures'"

Namely, the letter states, first, that our assessment of impacts of exposure correlation is inadequate; second, that overall effects are at odds with the joint action of exposures; and third, that we mischaracterize the target parameter of WQSR. The “mixture effect” of the letter is not precisely de...

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Bibliographic Details
Published in:Environmental health perspectives 2021-03, Vol.129 (3), p.38002
Main Authors: Keil, Alexander P, Buckley, Jessie P, O'Brien, Katie M, Ferguson, Kelly K, Zhao, Shanshan, White, Alexandra J
Format: Article
Language:English
Subjects:
Bias
Exposure
Response to Letter
Simulation
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Summary:Namely, the letter states, first, that our assessment of impacts of exposure correlation is inadequate; second, that overall effects are at odds with the joint action of exposures; and third, that we mischaracterize the target parameter of WQSR. The “mixture effect” of the letter is not precisely defined, but we interpret it as the joint effect of all exposures with true linear effects in the same direction. [...]the “mixture” and “overall” effects coincide in scenario 4 of our paper, where QGC was unbiased and WQSR was biased (except in very large samples). [...]at least in this setting, WQSR is also biased for the mixture effect.
ISSN:0091-6765
1552-9924
DOI:10.1289/EHP8820