[go: up one dir, main page]

  EconPapers    
Economics at your fingertips  
 

SENSPEC: Stata module to compute sensitivity and specificity results saved in generated variables

Roger Newson

Statistical Software Components from Boston College Department of Economics

Abstract: senspec inputs a reference variable with two values and a quantitative classification variable. It creates, as output, a set of new variables, containing, in each observation, the numbers and/or rates of true positives, true negatives, false positives and false negatives observed if the classification variable is used to define a diagnostic test, with a threshold equal to the value of the classification variable for that observation. The reference variable indicates the true state of the observation, such as diseased and non-diseased, or normal and abnormal. The rating or outcome of the diagnostic test is recorded in the classification variable. senspec is similar to roctab, but produces output variables instead of plots and listings, so that users can create plots and listings in their own chosen formats.

Language: Stata
Requires: Stata version 10.0
Keywords: sensitivity; specificity (search for similar items in EconPapers)
Date: 2004-06-17, Revised 2017-06-01
Note: This module should be installed from within Stata by typing "ssc install senspec". 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/s/senspec.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/senspec.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:s439801

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 2024-12-21
Handle: RePEc:boc:bocode:s439801