estimate_hematocrit {httk} | R Documentation |
Generate hematocrit values for a virtual population
Description
Predict hematocrit from age using smoothing splines and kernel density estimates of residual variability fitted to NHANES data, for a given combination of gender and NHANES race/ethnicity category.
Usage
estimate_hematocrit(gender, reth, age_years, age_months, nhanes_mec_svy)
Arguments
gender |
Gender for which to generate hematocrit values ("Male" or "Female") |
reth |
NHANES race/ethnicity category for which to generate serum creatinine values ("Mexican American", "Non-Hispanic Black", "Non-Hispanic White", "Other", or "Other Hispanic") |
age_years |
Vector of ages in years for individuals for whom to generate hematocrit values (corresponding to age_months) |
age_months |
vector of ages in months for individuals for whom to generate hematocrit values (between 0-959 months) |
nhanes_mec_svy |
|
Details
This function should usually not be called directly by the user. It is used by
httkpop_generate()
in "virtual-individuals" mode, after drawing gender,
NHANES race/ethnicity category, and age from their NHANES
proportions/distributions.
Value
A vector of numeric generated hematocrit values (blood percentage red blood cells by volume).
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.