glas

Outcome of individual studies evaluating urine markers

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

glas function

A matrix with 46 rows and 7 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>cutoff</dt>
<dd>cutoff in U/ml.</dd> <dt>marker</dt>
<dd>test method used in the study.</dd> 
</dl>

Format

Tumor markers in the diagnosis of primary bladder cancer. — glas

A matrix with 46 rows and 7 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>cutoff</dt>
<dd>cutoff in U/ml.</dd>

 <dt>marker</dt>
<dd>test method used in the study.</dd>

 
</dl>

glas: Tumor markers in the diagnosis of primary bladder cancer.

Description

Arguments

Format

References