AUDIT


  Four primary studies which validated the Alcohol Use Disorders Identfication Test by comparing the screening outcomes against the reference of self-report alcohol consumption.


datasets

This package allows doing meta-analysis for primary studies with classification outcomes in order to evaluate systematically the accuracies of classifiers, namely, the diagnostic tests. It provides functions to fit the bivariate model of Reitsma et al.(2005). Moreover, if the reference employed in the classification process isn't a gold standard, its deficit can be detected and its influence to the underestimation of the diagnostic test's accuracy can be corrected, as described in Botella et al.(2013).

Huiling Huang

Metatron

Meta-analysis for Classification Data and Correction to
Imperfect Reference

AUDIT function

A data frame containing 5 variables and 4 observations. The variables are:
<table><tr><td>
  <b>study</b> </td>
<td> <code>factor</code> </td>
</tr><tr><td> primary study name </td>
<td>
  <b>TP</b> </td>
</tr><tr><td> <code>numeric</code> </td>
<td> number of true positives </td>
</tr><tr><td>
  <b>FN</b> </td>
<td> <code>numeric</code> </td>
</tr><tr><td> number of false negatives </td>
<td>
  <b>FP</b> </td>
</tr><tr><td> <code>numeric</code> </td>
<td> number of false positives </td>
</tr></table>

AUDIT: Alcohol Use Disorders Identfication Test

Description

Usage

Arguments

Format

Source

References

study	`factor`
primary study name	TP
`numeric`	number of true positives
FN	`numeric`
number of false negatives	FP
`numeric`	number of false positives