NHANES_blood_lead_small

A random subset of NHANES_blood_lead data for the purpose of testing.

datasets

Implements the calibrated sensitivity analysis approach for matched observational studies. Our sensitivity analysis framework views matched sets as drawn from a super-population. The unmeasured confounder is modeled as a random variable. We combine matching and model-based covariate-adjustment methods to estimate the treatment effect. The hypothesized unmeasured confounder enters the picture as a missing covariate. We adopt a state-of-art Expectation Maximization (EM) algorithm to handle this missing covariate problem in generalized linear models (GLMs). As our method also estimates the effect of each observed covariate on the outcome and treatment assignment, we are able to calibrate the unmeasured confounder to observed covariates.
Zhang, B., Small, D. S. (2018). <arXiv:1812.00215>.

Bo Zhang

sensitivityCalibration

A Calibrated Sensitivity Analysis for Matched Observational
Studies

NHANES_blood_lead_small function

A random sample from the NHANES_blood_lead dataset. It consists of 500 instances and the same 10 variables as the NHANES_blood_lead data.<dl class="dl-horizontal">
 <dt><code>COP</code></dt><dd>treatment, 1 if cotinine level is between 0.563-14.9 ng/ml and 0 otherwise</dd>
 <dt><code>DMARETHN</code></dt><dd>1 if white, 0 if others</dd>
 <dt><code>DMPPIR</code></dt><dd>Poverty income ratio</dd>
 <dt><code>HFE1</code></dt><dd>1 if the house is built before 1974, 0 if after 1974</dd>
 <dt><code>HFE2</code></dt><dd>number of rooms in the house</dd>
 <dt><code>HFHEDUCR</code></dt><dd>education level of the reference adult</dd>
 <dt><code>HSAGEIR</code></dt><dd>age at the time of interview</dd>
 <dt><code>HSFSIZER</code></dt><dd>size of the family</dd>
 <dt><code>HSSEX</code></dt><dd>1 if male, 0 if female</dd>
 <dt><code>PBP</code></dt><dd>blood lead level</dd>
 </dl>

Format

A random subset of NHANES_blood_lead data. — NHANES_blood_lead_small

A random sample from the NHANES_blood_lead dataset. It consists of 500 instances and the same 10 variables as the NHANES_blood_lead data.<dl class='dl-horizontal'>
 <dt><code>COP</code></dt><dd>treatment, 1 if cotinine level is between 0.563-14.9 ng/ml and 0 otherwise</dd>
 <dt><code>DMARETHN</code></dt><dd>1 if white, 0 if others</dd>
 <dt><code>DMPPIR</code></dt><dd>Poverty income ratio</dd>
 <dt><code>HFE1</code></dt><dd>1 if the house is built before 1974, 0 if after 1974</dd>
 <dt><code>HFE2</code></dt><dd>number of rooms in the house</dd>
 <dt><code>HFHEDUCR</code></dt><dd>education level of the reference adult</dd>
 <dt><code>HSAGEIR</code></dt><dd>age at the time of interview</dd>
 <dt><code>HSFSIZER</code></dt><dd>size of the family</dd>
 <dt><code>HSSEX</code></dt><dd>1 if male, 0 if female</dd>
 <dt><code>PBP</code></dt><dd>blood lead level</dd>
 </dl>

NHANES_blood_lead_small: A random subset of NHANES_blood_lead data.

Description

Usage

Arguments

Format

Details

References

Examples