evans

Data from a cohort study in which white males in Evans County were followed
for 7 years, with coronary heart disease as the outcome of interest.

datasets

Quantify the causal effect of a binary exposure on a binary
outcome with adjustment for multiple biases. The functions can
simultaneously adjust for any combination of uncontrolled confounding,
exposure/outcome misclassification, and selection bias.
The underlying method generalizes the concept of combining inverse
probability of selection weighting with predictive value weighting.
Simultaneous multi-bias analysis can be used to enhance the validity
and transparency of real-world evidence obtained from observational,
longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres,
and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.

Paul Brendel

multibias

Simultaneous Multi-Bias Adjustment

evans function

A dataframe with 609 rows and 9 columns:<dl>
<dt>ID</dt>
<dd>subject identifiction</dd><dt>CHD</dt>
<dd>outcome variable; 1 = coronary heart disease</dd><dt>AGE</dt>
<dd>age (in years)</dd><dt>CHL</dt>
<dd>cholesterol, mg/dl</dd><dt>SMK</dt>
<dd>1 = subject has ever smoked</dd><dt>ECG</dt>
<dd>1 = presence of electrocardiogram abnormality</dd><dt>DBP</dt>
<dd>diastolic blood pressure, mmHg</dd><dt>SBP</dt>
<dd>systolic blood pressure, mmHg</dd><dt>HPT</dt>
<dd>1 = SBP greater than or equal to 160 or DBP greater than or equal to 95</dd>
</dl>

Format

Evans County dataset — evans

A dataframe with 609 rows and 9 columns:<dl>
<dt>ID</dt>
<dd>subject identifiction</dd>

<dt>CHD</dt>
<dd>outcome variable; 1 = coronary heart disease</dd>

<dt>AGE</dt>
<dd>age (in years)</dd>

<dt>CHL</dt>
<dd>cholesterol, mg/dl</dd>

<dt>SMK</dt>
<dd>1 = subject has ever smoked</dd>

<dt>ECG</dt>
<dd>1 = presence of electrocardiogram abnormality</dd>

<dt>DBP</dt>
<dd>diastolic blood pressure, mmHg</dd>

<dt>SBP</dt>
<dd>systolic blood pressure, mmHg</dd>

<dt>HPT</dt>
<dd>1 = SBP greater than or equal to 160 or DBP greater than or equal to 95</dd>


</dl>

evans: Evans County dataset

Description

Usage

Arguments

Format