skin2

This data frame contains results 14 comparative diagnostic studies: CAD vs Dermatologists

datasets

Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Pablo Emilio Verde

bamdit

Bayesian Meta-Analysis of Diagnostic Test Data

skin2 function

A matrix with 14 rows and 12 columns. Each row represents a study's results, the columns are:<dl>
<dt>"study"</dt>
<dd>Study name and year</dd><dt>"TP_CAD"</dt>
<dd>number of true positives CAD.</dd><dt>"TN_CAD"</dt>
<dd>number of ture negatives CAD.</dd><dt>"FP_CAD"</dt>
<dd>number of false positives CAD.</dd><dt>"FN_CAD"</dt>
<dd>number of false negative CAD.</dd><dt>"TP_Dermatologists"</dt>
<dd>number of true positives Dermatologists.</dd><dt>"TN_Dermatologists"</dt>
<dd>number of ture negatives Dermatologists.</dd><dt>"FP_Dermatologists"</dt>
<dd>number of false positives Dermatologists.</dd><dt>"FN_Dermatologists"</dt>
<dd>number of false negative Dermatologists.</dd><dt>"test_set_source"</dt>
<dd>The database was public domain or propietary.</dd><dt>"cad_method"</dt>
<dd>Computer-Aided Diagnostic Technique: computer vision; deep learning or hardware-based.</dd><dt>"test_set_independent"</dt>
<dd>yes or no.</dd>
</dl>

Format

Accuracy of Computer-Aided Diagnosis of Melanoma: A Comparative Meta-analysis. — skin2

A matrix with 14 rows and 12 columns. Each row represents a study's results, the columns are:<dl>
<dt>"study"</dt>
<dd>Study name and year</dd>

<dt>"TP_CAD"</dt>
<dd>number of true positives CAD.</dd>

<dt>"TN_CAD"</dt>
<dd>number of ture negatives CAD.</dd>

<dt>"FP_CAD"</dt>
<dd>number of false positives CAD.</dd>

<dt>"FN_CAD"</dt>
<dd>number of false negative CAD.</dd>

<dt>"TP_Dermatologists"</dt>
<dd>number of true positives Dermatologists.</dd>

<dt>"TN_Dermatologists"</dt>
<dd>number of ture negatives Dermatologists.</dd>

<dt>"FP_Dermatologists"</dt>
<dd>number of false positives Dermatologists.</dd>

<dt>"FN_Dermatologists"</dt>
<dd>number of false negative Dermatologists.</dd>

<dt>"test_set_source"</dt>
<dd>The database was public domain or propietary.</dd>

<dt>"cad_method"</dt>
<dd>Computer-Aided Diagnostic Technique: computer vision; deep learning or hardware-based.</dd>

<dt>"test_set_independent"</dt>
<dd>yes or no.</dd>


</dl>

skin2: Accuracy of Computer-Aided Diagnosis of Melanoma: A Comparative Meta-analysis.

Description

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Format