IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Multivariate mixed models for metanalysis of paired-comparison studies of two medical diagnostic tests

Listed author(s):
  • Ben Dwamena


    (University of Michigan Radiology and VA Nuclear Medicine Service, Ann Arbor, Michigan)

We have previously demonstrated Stata implementation of bivariate ramdom effects meta-analysis of the sensitivity and specificity of a single binary diagnostic test by means of the midas module (Dwamena NASUG2007; Dwamena WCSUG 2007). In this presentation we extend our work to paired-comparison studies of two binary diagnostic tests. Using a dataset of studies comparing the accuracy of positron emission tomography(PET) and x-ray computed tomography (CT) for staging lung cancer, we compare the fit(deviance) and complexity (BIC, AIC) and test performance estimates (sensitivity, specificity, dignostic odds ratios nand likelihood ratios) of 4 multivariate models : (1) bivariate binomial mixed model with test type as fixed-effect covariate; (2) bivariate binomial mixed model with test type as random-effect covariate; (3) independent test-specific bivariate binomial mixed models; and (4) correlated test-specific bivariate binomial mixed models. Estimation is performed with the Stata-native procedure xtmelogit using both the default adaptive quadrature method and its laplacian approximation (nip=1). Results are then compared with those from the user-written gllamm command (Rabe-Hesketh et al.)

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:
Download Restriction: no

File URL:
Download Restriction: no

File URL:
Download Restriction: no

Paper provided by Stata Users Group in its series Summer North American Stata Users' Group Meetings 2008 with number 11.

in new window

Date of creation: 29 Jul 2008
Handle: RePEc:boc:nsug08:11
Contact details of provider: Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

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:nsug08:11. 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.