EconPapers    
Economics at your fingertips  
 

DIAGSAMPSI: Stata module for computing sample size for a single diagnostic test with a binary outcome

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: diagsampsi performs sample size calculations for sensitivity and specificity of a single diagnostic test with a binary outcome, according to Buderer (1996). The sample size computation depends on 3 quantities that the user needs to specify: (1) the expected sensitivity (specificity) of the new diagnostic test, (2) the prevalence of disease in the target population, and (3) a clinically acceptable width of the confidence interval for the estimates. Optionally, diagsampsi allows the user to choose the confidence level. In many cases, the user will want to compute a sample size that accounts for a different level of sensitivity and specificity (e.g. 80% and 60% for sensitivity and specificity, respectively). In this case, the larger of the two sample size estimates should be used to ensure the desired precision is preserved.

Language: Stata
Requires: Stata version 11
Keywords: sample size; diagnostic test; sensitivity; specificity (search for similar items in EconPapers)
Date: 2020-08-04, Revised 2021-01-27
Note: This module should be installed from within Stata by typing "ssc install diagsampsi". 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/d/diagsampsi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/diagsampsi.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:s458824

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 2025-03-30
Handle: RePEc:boc:bocode:s458824