bone_mass_age

age_years

age_months

height

weight

<p>Vector of genders, either 'Male' or 'Female'.</p>

gender

<p>Predict bone mass from age_years, height, weight, gender,
using logistic equations fit to data from Baxter-Jones et al. 2011,
or for infants &lt; 1 year, using equation from Koo et al. 2000
(See Price et al. 2003)</p>

Functions and data tables for simulation and statistical analysis
of chemical toxicokinetics ("TK") as in Pearce et al. (2017)
<doi:10.18637/jss.v079.i04>. Chemical-specific in vitro
data have been obtained from relatively high throughput
experiments. Both physiologically-based ("PBTK") and empirical
(e.g., one compartment) "TK" models can be parameterized for
several hundred chemicals and multiple species. These models are
solved efficiently, often using compiled (C-based) code. A Monte
Carlo sampler is included for simulating biological variability
(Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>)
and measurement limitations. Calibrated methods are included for
predicting tissue:plasma partition coefficients and volume of
distribution
(Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>).
These functions and data provide a set of tools for
in vitro-in vivo extrapolation ("IVIVE") of high throughput
screening data (e.g., Tox21, ToxCast) to real-world exposures via
reverse dosimetry (also known as "RTK")
(Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

bone_mass_age: Predict bone mass.

Description

Usage

Arguments

Value