MMSE


  Four primary studies which report the accuracy of the Mini Mental State Examination by giving the screening outcomes against the Cambridge Mental Disorders of the Elderly Examination (CAMDEX).


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

MMSE function

A vector containing 5 variables and 4 observations. The variables are:
<table><tr><td>
  <b>TP</b> </td>
<td> <code>numeric</code> </td>
</tr><tr><td> number of true positives </td>
<td>
  <b>FN</b> </td>
</tr><tr><td> <code>numeric</code> </td>
<td> number of false negatives </td>
</tr><tr><td>
  <b>FP</b> </td>
<td> <code>numeric</code> </td>
</tr><tr><td> number of false positives </td>
<td>
  <b>TN</b> </td>
</tr><tr><td> <code>numeric</code> </td>
<td> number of true negatives </td>
</tr></table>

MMSE: Mini Mental State Examination

Description

Usage

Arguments

Format

Source

References

TP	`numeric`
number of true positives	FN
`numeric`	number of false negatives
FP	`numeric`
number of false positives	TN
`numeric`	number of true negatives