| scr_h {httk} | R Documentation |
KDE bandwidths for residual variability in serum creatinine
Description
Bandwidths used for a one-dimensional kernel density estimation of the distribution of residual errors around smoothing spline fits of serum creatinine vs. age for NHANES respondents in each of ten combinations of sex and race/ethnicity categories.
Usage
scr_h
Format
A named list with 10 elements, each a numeric value. Each list element corresponds to, and is named for, one combination of NHANES sex categories (Male and Female) and NHANES race/ethnicity categories (Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, and Other).
Details
Each matrix is the standard deviation for a normal distribution: this is the
bandwidth to be used for a kernel density estimation (KDE) (using a normal
kernel) of the distribution of residual errors around smoothing spline fits of
serum creatinine vs. age for NHANES respondents in the specified sex and
race/ethnicity category. Optimal bandwidths were pre-calculated by doing the
smoothing spline fits, getting the residuals, then calling
kde on the residuals (which calls hpi to
compute the plug-in bandwidth).
Used by HTTK-Pop only in "virtual individuals" mode (i.e.
httkpop_generate with method = "v"), in
gen_serum_creatinine.
Author(s)
Caroline Ring
References
Ring CL, Pearce RG, Setzer RW, Wetmore BA, Wambaugh JF (2017). “Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.” Environment International, 106, 105–118.