Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2021 Mar;129(3):38001.
doi: 10.1289/EHP8739. Epub 2021 Mar 10.

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

Affiliations
Comment

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

Chris Gennings. Environ Health Perspect. 2021 Mar.
No abstract available

PubMed Disclaimer

Comment in

Comment on

References

    1. Bello G. 2014. Application and Extension of Weighted Quantile Sum Regression for the Development of a Clinical Risk Prediction Tool [dissertation]. Richmond, VA: Virginia Commonwealth University.
    1. Carrico C, Gennings C, Wheeler DC, Factor-Litvak P. 2015. Characterization of weighted quantile sum regression for highly correlated data in a risk analysis setting. J Agric Biol Environ Stat 20(1):100–120, PMID: 30505142, 10.1007/s13253-014-0180-3. - DOI - PMC - PubMed
    1. Curtin P, Kellogg JJ, Cech N, Gennings C. 2019. A random subset implementation of weighted quantile sum (WQSRS) regression for analysis of high-dimensional mixtures. Commun Stat Simul Comput, 10.1080/03610918.2019.1577971. - DOI
    1. Czarnota J, Gennings C, Colt JS, De Roos AJ, Cerhan JR, Severson RK, et al. . 2015a. Analysis of environmental chemical mixtures and non-Hodgkin lymphoma risk in the NCI-SEER NHL study. Environ Health Perspect 123(10):965–970, PMID: 25748701, 10.1289/ehp.1408630. - DOI - PMC - PubMed
    1. Czarnota J, Gennings C, Wheeler DC. 2015b. Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk. Cancer Inform 14(suppl 2):159–171, PMID: 26005323, 10.4137/CIN.S17295. - DOI - PMC - PubMed

MeSH terms

Substances

LinkOut - more resources