spline_serumcreat

#'Smoothing splines and KDE residuals pre-calculated from NHANES serum creatinine and
age data by race/ethnicity and gender.

datasets

Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") using data obtained from relatively high throughput, in vitro studies. 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 and measurement limitations. Functions are also provided for exporting "PBTK" models to "SBML" and "JARNAC" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK").

John Wambaugh

httk

High-Throughput Toxicokinetics

spline_serumcreat function

A data.table with 6 variables:<dl class="dl-horizontal">
<dt><code>gender</code></dt><dd>Gender:
 Male or Female</dd> 
 <dt><code>reth</code></dt><dd>Race/ethnicity: Mexican American, Other 
 Hispanic, Non-Hispanic White, Non-Hispanic Black, Other</dd> 
 <dt><code>sc_spline</code></dt><dd>A list of smooth.spline objects, each giving a 
 smoothed relationship between log serum creatinine and age in months</dd> 
 <dt><code>sc_kde</code></dt><dd>A list of kde 
 objects; each is a KDE of the distribution of residuals about the smoothing 
 spline.</dd>
 </dl>

Format

Smoothing splines for log serum creatinine vs. age in months, along with KDE
residuals, by race and gender. — spline_serumcreat

A data.table with 6 variables:<dl class='dl-horizontal'>
<dt><code>gender</code></dt><dd>Gender:
 Male or Female</dd> 
 <dt><code>reth</code></dt><dd>Race/ethnicity: Mexican American, Other 
 Hispanic, Non-Hispanic White, Non-Hispanic Black, Other</dd> 
 <dt><code>sc_spline</code></dt><dd>A list of smooth.spline objects, each giving a 
 smoothed relationship between log serum creatinine and age in months</dd> 
 <dt><code>sc_kde</code></dt><dd>A list of kde 
 objects; each is a KDE of the distribution of residuals about the smoothing 
 spline.</dd>
 </dl>

spline_serumcreat: Smoothing splines for log serum creatinine vs. age in months, along with KDE residuals, by race and gender.

Description

Usage

Arguments

Format