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
. 2019 Apr 1;188(4):308-309.
doi: 10.1093/aje/kwz022.

THREE AUTHORS REPLY

Jianxin Shi  1 , Rashmi Sinha  1 , James J Goedert  1
Affiliations
Comment

THREE AUTHORS REPLY

Jianxin Shi et al. Am J Epidemiol. .
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Intraclass correlation coefficient values for an uncommon taxon using naive estimates of relative abundance (RA) vector (A), log transformation (B), and centered log-ratio transformation (C). The RA vectors at 2 data points for 1,000 subjects were generated for 5 taxa based on the data generative model with Λ = (0.1,1,1,1,5) and θ = 0.1 (suggesting large over-time instability). The average RA for the first taxon is 0.1/(0.1 + 1 + 1 + 1 + 5) = 1.2%.
See this image and copyright information in PMC

Comment on

References

    1. McSkimming DI, Banack HR, Genco R, et al. . Re: “Quantification of human microbiome stability over 6 months: implications for epidemiologic studies”. Am J Epidemiol. 2019;188(4):808–809. - PubMed
    1. Sinha R, Goedert JJ, Vogtmann E, et al. . Quantification of human microbiome stability over 6 months: implications for epidemiologic studies. Am J Epidemiol. 2018;187(6):1282–1290. - PMC - PubMed
    1. Human Microbiome Project Consortium A framework for human microbiome research. Nature. 2012;486(7402):215–221. - PMC - PubMed
    1. Human Microbiome Project Consortium Structure, function and diversity of the healthy human microbiome. Nature. 2012;486(7402):207–214. - PMC - PubMed
    1. Aitchison J. The Statistical Analysis of Compositional Data. London, United Kingdom: Chapman and Hall Ltd; 1986.