EconPapers    
Economics at your fingertips  
 

TAB2DIAG: Stata module to compute diagnostic metrics and predictive values from 2-by-2 tables

Daniel Klein ()
Additional contact information
Daniel Klein: Universität Kassel

Statistical Software Components from Boston College Department of Economics

Abstract: tab2diag computes diagnostic test statistics from a 2-by-2 contingency table, including sensitivity, specificity, predictive values, accuracy, likelihood ratios, odds ratio, and the area under the ROC curve. Optionally, complementary error metrics, such as the false negative rate and false discovery rate, are also computed.

Language: Stata
Requires: Stata version 11.2
Keywords: diagnostic test; confusion matrix; sensitivity and specificity; predictive values; ROC analyses (search for similar items in EconPapers)
Date: 2025-07-27
Note: This module should be installed from within Stata by typing "ssc install tab2diag". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/t/tab2diag.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tab2diag.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tab2diagi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tab2diagi.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tab2diagmat.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tab2diagmat.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459484

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

 
Page updated 2025-08-17
Handle: RePEc:boc:bocode:s459484