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DAG Stat

DAG_Stat provides a comprehensive range of statistics calculable from 2 by 2 tables that are useful in evaluating diagnostic tests and interrater agreement. Statistics for the evaluation of diagnostic tests include sensitivity, sensitivity of a random test given the observed prevalence and test level., sensitivity quality index, specificity, specificity of a random test, specificity quality index, efficiency (the correct classification rate), efficiency of a random test, quality index, Youden's index, the predictive value of positive test, predictive value of a positive random test, predictive value of negative test, predictive. value of a negative random test, likelihood ratio of a positive and negative tests, the odds ratio. Also included are the false positive and false negative rates, prevalence observed in the sample and test level (proportion of subjects classified as 'positive.' For investigating interrater agreement DAG_Stat calculates Cohen's Kappa, observed agreement, chance agreement, agreement about positive and negative cases, Byrt's bias index, Byrt's prevalence asymmetry index, bias adjusted Kappa, prevalence & bias adjusted Kappa. DAG_Stat also calculates Dice's index, Yule's Q (Gamma), Phi, Scott's agreement index, the tetrachoric correlation coefficient, Goodman & Kruskal's tau, Lambda, the Uncertainty Coefficient, Pearson's Chi Square (with and without Yates' correction), the likelihood ratio Chi Square, McNemar's Test, (with and without Yates' correction).

How to use DAG_Stat
Learn more about DAG_Stat
Download DAG_Stat
Register as a DAG_Stat User
About Dags


Download DAG_Stat

Download DAG_Stat in Microsoft Excel 5/95 and 7/97 compatible format. (Also suitable for Excel 2000.)

Download DAG_Stat optimized for Microsoft Excel 98 for Macintosh format.

Download DAG_Stat in Microsoft Excel 4 format. (Available soon: contact me for more details.)

Notes on Downloading and Opening DAG_Stat Because browers have varied and unpredictable responses when downloading Exce spreadsheets, DAG_Stat has been encoded as both Zip and StuffIt formats to suit PC and Mac users. Depending on your brower's configuration, the download may be automatically unarchived and saved as an Excel file, or you may have to UnZip or Unstuff the file manually.

When you open DAG_Stat, Excel may display a message telling you that the file contains macros. Because it is possible to write macros that modify or damage files, Excel gives you the option of not opening the file or disabling macros. DAG_Stat will run perfectly well without the macros: they add only minor functions to the spreadsheet.


Register

If you intend to use DAG_Stat, please consider registering using the form below. The purpose of registration is so that users can be contacted in the event that an error is found in the spreadsheet. Registered users will also be informed if any improvements are made to the program. Registration is completely optional and I need only your email address to send you any information.

Name

Email Address


Please tell me a little about your background and the field of research in which you will use DAG_Stat.

Professional Training/Background (e.g. Statistician, Medical Practitioner, Psychologist, etc.)

Field of use


In what computer environment will you run DAG_Stat?

Computer System(s)

Version(s) of Microsoft Excel

Windows

Excel 4

Macintosh

Excel 95

Other

Excel 97

Excel 98

Excel 2000


How did you find out about DAG_Stat?

I am interested in comments you have about DAG_Stat or the DAG_Stat web site.


 
About Dags

 DAG_Stat is an acronym for Diagnostic and AGreement Statistics. However, the word 'dag' has a unique place in Australian culture. Perhaps it's best to consult the dictionary...

dag /dag/ n.¹ LME. [Origin unkn.: cf. TAG n.¹] 3. In full dag-lock. A lock of wool clotted with dung about the hind legs of a sheep. Usu. in pl. Now chiefly in Austral. & NZ. E17. 4 An extraordinary person; a character; a tough but amusing person. Austral. & NZ slang. E20.

(The New Shorter Oxford English Dictionary) 


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Last updated 9th May 2000 by Andrew Mackinnon.