IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this software component or follow this series

MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies

  • Ben Dwamena

    ()

    (Division of Nuclear Medicine, Department of Radiology, University of Michigan Health System, Ann Arbor)

midas is a user-written command for idiot-proof implementation of some of the contemporary statistical methods for meta-analysis of binary diagnostic test accuracy. Primary data synthesis is performed within the bivariate mixed-effects logistic regression modeling framework. Likelihood-based estimation is by adaptive gaussian quadrature using xtmelogit (Stata release 10) with post-estimation procedures for model diagnostics and empirical Bayes predictions. Average sensitivity and specificity (optionally depicted in SROC space with or without confidence and prediction regions), and their derivative likelihood and odds ratios are calculated from the maximum likelihood estimates. midas facilitates exploratory analysis of heterogeneity, threshold-related variability, methodological quality bias, publication and other precision-related biases. Bayes' nomograms, likelihood-ratio matrices, and probability modifying plots may be derived and used to guide patient-based diagnostic decision making. A dataset of studies evaluating axillary staging performance of positron emission tomography in breast cancer patients is provided for illustration of the omnibus capabilities of midas.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://fmwww.bc.edu/repec/bocode/m/midas.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/f/fagani.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/h/homogeni.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/l/lrmat.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/p/pddami.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/m/midas.sthlp
File Function: help file
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/m/midas.pdf
File Function: documentation
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/m/midas_example.dta
File Function: sample data file
Download Restriction: no

Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456880.

as
in new window

Size:
Programming language:
Requires: Stata version 10
Date of creation: 14 Oct 2007
Date of revision: 05 Feb 2009
Handle: RePEc:boc:bocode:s456880
Note: This module should be installed from within Stata by typing "ssc install midas". Windows users should not attempt to download these files with a web browser.
Contact details of provider: Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Web page: http://fmwww.bc.edu/EC/
Email:


More information through EDIRC

Order Information: Web: http://repec.org/docs/ssc.php

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s456880. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.