metals

Simulated well water measurements in North Carolina: 16 metals, 6 water chemistry
measures, and 2 health outcomes (y = continuous; disease_state = binary/time-to-event
in combination with disease_time)
A dataset containing well water measurements and health outcomes for 253 individuals.
All continuous variables are standardized to have mean 0, standard deviation 1.

datasets

G-computation for a set of time-fixed exposures
with quantile-based basis functions, possibly under linearity and
homogeneity assumptions. This approach estimates a regression line
corresponding to the expected change in the outcome (on the link
basis) given a simultaneous increase in the quantile-based category
for all exposures. Works with continuous, binary, and right-censored
time-to-event outcomes. Reference: Alexander P. Keil, Jessie P.
Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and
Alexandra J. White (2019) A quantile-based g-computation approach to
addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.

Alexander Keil

qgcomp

Quantile G-Computation

metals function

A data frame with 253 rows and 24 variables:<dl class="dl-horizontal">
<dt>y</dt><dd>continuous birth outcome</dd>
<dt>disease_state</dt><dd>binary outcome</dd>
<dt>disease_time</dt><dd>time-to-disease_state: survival outcome censored at approximately the median</dd>
<dt>arsenic</dt><dd>metal</dd>
<dt>barium</dt><dd>metal</dd>
<dt>cadmium</dt><dd>metal</dd>
<dt>calcium</dt><dd>metal</dd>
<dt>chloride</dt><dd>metal</dd>
<dt>chromium</dt><dd>metal</dd>
<dt>copper</dt><dd>metal</dd>
<dt>iron</dt><dd>metal</dd>
<dt>lead</dt><dd>metal</dd>
<dt>magnesium</dt><dd>metal</dd>
<dt>manganese</dt><dd>metal</dd>
<dt>mercury</dt><dd>metal</dd>
<dt>selenium</dt><dd>metal</dd>
<dt>silver</dt><dd>metal</dd>
<dt>sodium</dt><dd>metal</dd>
<dt>zinc</dt><dd>metal</dd>
<dt>mage35</dt><dd>Binary covariate: maternal age &gt; 35</dd>
<dt>nitrate</dt><dd>water chemistry measure</dd>
<dt>nitrite</dt><dd>water chemistry measure</dd>
<dt>sulfate</dt><dd>water chemistry measure</dd>
<dt>ph</dt><dd>water chemistry measure</dd>
<dt>total_alkalinity</dt><dd>water chemistry measure</dd>
<dt>total_hardness</dt><dd>water chemistry measure</dd>
</dl>

Format

Well water data — metals

A data frame with 253 rows and 24 variables:<dl class='dl-horizontal'>
<dt>y</dt><dd>continuous birth outcome</dd>
<dt>disease_state</dt><dd>binary outcome</dd>
<dt>disease_time</dt><dd>time-to-disease_state: survival outcome censored at approximately the median</dd>
<dt>arsenic</dt><dd>metal</dd>
<dt>barium</dt><dd>metal</dd>
<dt>cadmium</dt><dd>metal</dd>
<dt>calcium</dt><dd>metal</dd>
<dt>chloride</dt><dd>metal</dd>
<dt>chromium</dt><dd>metal</dd>
<dt>copper</dt><dd>metal</dd>
<dt>iron</dt><dd>metal</dd>
<dt>lead</dt><dd>metal</dd>
<dt>magnesium</dt><dd>metal</dd>
<dt>manganese</dt><dd>metal</dd>
<dt>mercury</dt><dd>metal</dd>
<dt>selenium</dt><dd>metal</dd>
<dt>silver</dt><dd>metal</dd>
<dt>sodium</dt><dd>metal</dd>
<dt>zinc</dt><dd>metal</dd>
<dt>mage35</dt><dd>Binary covariate: maternal age &gt; 35</dd>
<dt>nitrate</dt><dd>water chemistry measure</dd>
<dt>nitrite</dt><dd>water chemistry measure</dd>
<dt>sulfate</dt><dd>water chemistry measure</dd>
<dt>ph</dt><dd>water chemistry measure</dd>
<dt>total_alkalinity</dt><dd>water chemistry measure</dd>
<dt>total_hardness</dt><dd>water chemistry measure</dd>
</dl>

metals: Well water data

Description

Usage

Arguments

Format