lead_crime

A matched, trimmed dataset of early life lead exposure and
juvenile delinquency from a public dataset. There are 2007 matched sets.

datasets

Performs sensitivity analysis for the sharp null, attributable effects, and weak nulls in matched studies with continuous exposures and binary or continuous outcomes as described in Zhang, Small, Heng (2024) <doi:10.48550/arXiv.2401.06909> and Zhang, Heng (2024) <doi:10.48550/arXiv.2409.12848>. Two of the functions require installation of the 'Gurobi' optimizer. Please see <https://docs.gurobi.com/current/#refman/ins_the_r_package.html> for guidance.

Jeffrey Zhang

doseSens

Conduct Sensitivity Analysis with Continuous Exposures and
Binary or Continuous Outcomes

lead_crime function

<div class="section" id="lead-crime">
<h3><code>lead_crime</code></h3>
A data frame with 4,134 rows and 17 columns:<dl>
<dt>log_lead</dt>
<dd>The log of lead exposure level measured in micrograms per deciliter.</dd><dt>serious</dt>
<dd>Whether the juvenile comitted a serious offense.</dd><dt>complain</dt>
<dd>Whether the juvenile comitted an offense worthy of complaint.</dd><dt>matched_sets</dt>
<dd>Matched set membership.</dd>...</dl></div>

Format

Matched lead crime dataset — lead_crime

<div class='section' id='lead-crime'>
<h3><code>lead_crime</code></h3>


A data frame with 4,134 rows and 17 columns:<dl>
<dt>log_lead</dt>
<dd>The log of lead exposure level measured in micrograms per deciliter.</dd>

<dt>serious</dt>
<dd>Whether the juvenile comitted a serious offense.</dd>

<dt>complain</dt>
<dd>Whether the juvenile comitted an offense worthy of complaint.</dd>

<dt>matched_sets</dt>
<dd>Matched set membership.</dd>

...

</dl>

</div>

lead_crime: Matched lead crime dataset

Description

Usage

Arguments

Format

`lead_crime`