diabetes

This data frame contains results of diagnostic accuracy of 38 studies which reported comparison of sensitivity and specificity between HbA1c vs FPG in a population based screening for type 2 diabetes.

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

diabetes function

A data frame with 38 rows and 9 columns. Each row represents study results, the columns are:
<dl>
<dt>Study</dt>
<dd>Name of the first author.</dd><dt>TP_HbA1c</dt>
<dd>Number of true positive cases for HbA1c.</dd><dt>FP_HbA1c</dt>
<dd>Number of false positive cases for HbA1c.</dd><dt>FN_HbA1c</dt>
<dd>Number of false negative cases for HbA1c.</dd><dt>TN_HbA1c</dt>
<dd>Number of true negative cases for HbA1c.</dd><dt>TP_FPG</dt>
<dd>Number of true positive cases for FPG.</dd><dt>FP_FPG</dt>
<dd>Number of false positive cases for FPG.</dd><dt>FN_FPG</dt>
<dd>Number of false negative cases for FPG.</dd><dt>TN_FPG</dt>
<dd>Number of true negative cases for FPG.</dd> 
</dl>

Format

Systematic review which compares the accuracy of HbA1c vs
FPG in diabetes — diabetes

A data frame with 38 rows and 9 columns. Each row represents study results, the columns are:
<dl>
<dt>Study</dt>
<dd>Name of the first author.</dd>

<dt>TP_HbA1c</dt>
<dd>Number of true positive cases for HbA1c.</dd>

<dt>FP_HbA1c</dt>
<dd>Number of false positive cases for HbA1c.</dd>

<dt>FN_HbA1c</dt>
<dd>Number of false negative cases for HbA1c.</dd>

<dt>TN_HbA1c</dt>
<dd>Number of true negative cases for HbA1c.</dd>

<dt>TP_FPG</dt>
<dd>Number of true positive cases for FPG.</dd>

<dt>FP_FPG</dt>
<dd>Number of false positive cases for FPG.</dd>

<dt>FN_FPG</dt>
<dd>Number of false negative cases for FPG.</dd>

<dt>TN_FPG</dt>
<dd>Number of true negative cases for FPG.</dd>

 
</dl>

diabetes: Systematic review which compares the accuracy of HbA1c vs FPG in diabetes

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