Diagnosis of lymph node metastasis with magnetic resonance imaging

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

mri function

A matrix with 10 rows and 4 columns. Each row represents study results, the columns are:<dl>
<dt>tp</dt>
<dd>true positives</dd><dt>n1</dt>
<dd>number of patients with disease</dd><dt>fp</dt>
<dd>false positives</dd><dt>n2</dt>
<dd>number of patients without disease</dd>
</dl>

Format

Diagnosis of lymph node metastasis with magnetic resonance imaging — mri

A matrix with 10 rows and 4 columns. Each row represents study results, the columns are:<dl>
<dt>tp</dt>
<dd>true positives</dd>

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

<dt>fp</dt>
<dd>false positives</dd>

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


</dl>

mri: Diagnosis of lymph node metastasis with magnetic resonance imaging

Description

Arguments

Format

References