IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s439801.html
 

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

Author

Listed:
  • Roger Newson

    (King's College London)

Programming Language

Stata

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.

Suggested Citation

  • Roger Newson, 2004. "SENSPEC: Stata module to compute sensitivity and specificity results saved in generated variables," Statistical Software Components S439801, Boston College Department of Economics, revised 01 Jun 2017.
    • Handle: RePEc:boc:bocode:s439801
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/senspec.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/senspec.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    sensitivity; specificity; Stata;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s439801. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.