gould

Data from a Meta-Analysis of Studies Quality of FDG-PET for Diagnosis of SPNs and Mass Lesions

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

gould function

A matrix with 31 rows and 6 columns. Each row represents study
results, the columns are:
<dl>
<dt>tp</dt>
<dd>number of true positives.</dd><dt>n1</dt>
<dd>number of patients with disease.</dd><dt>fp</dt>
<dd>number of false positives.</dd><dt>n2</dt>
<dd>number of patients without disease.</dd><dt>author</dt>
<dd>first author of the study.</dd><dt>year</dt>
<dd>publication date.</dd>
</dl>

Format

Accuracy of Positron Emission Tomography for Diagnosis of Pulmonary
Nodules and Mass Lesions — gould

A matrix with 31 rows and 6 columns. Each row represents study
results, the columns are:
<dl>
<dt>tp</dt>
<dd>number of true positives.</dd>

<dt>n1</dt>
<dd>number of patients with disease.</dd>

<dt>fp</dt>
<dd>number of false positives.</dd>

<dt>n2</dt>
<dd>number of patients without disease.</dd>

<dt>author</dt>
<dd>first author of the study.</dd>

<dt>year</dt>
<dd>publication date.</dd>


</dl>

gould: Accuracy of Positron Emission Tomography for Diagnosis of Pulmonary Nodules and Mass Lesions

Description

Arguments

Format