metals

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 Alexandra
J. White (2019) A quantile-based g-computation approach to addressing
the effects of exposure mixtures; <arXiv:1902.04200> [stat.ME].

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

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) — 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>

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)

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)

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