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R
httk

spline_hematocrit

Smoothing splines for log hematocrit vs. age in months, and KDE residuals, by race and gender.

Description

Smoothing splines and KDE residuals pre-calculated from NHANES hematocrit and age data by race/ethnicity and gender.

Usage

spline_hematocrit

Format

A data.table with 6 variables:

gender

Gender: Male or Female

reth

Race/ethnicity: Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, Other

hct_spline

A list of smooth.spline objects, each giving a smoothed relationship between log hematocrit and age in months

hct_kde

A list of kde objects; each is a KDE of the distribution of residuals about the smoothing spline.

Author(s)

Caroline Ring

References

Ring, Caroline L., et al. "Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability." Environment International 106 (2017): 105-118

httk

High-Throughput Toxicokinetics

v2.0.4
GPL-3
Authors
John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>), Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>), Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>), Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>), Mark Sfeir [aut], Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>), Sarah Davidson [aut] (<https://orcid.org/0000-0002-2891-9380>), Miyuki Breen [ctb] (<https://orcid.org/0000-0001-8511-4653>), Shannon Bell [ctb], Xiaoqing Chang [ctb] (<https://orcid.org/0000-0003-0752-1848>), Jimena Davis [ctb], James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>), Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>), Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>), Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Initial release
2021-05-07

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