DIAGMA: Stata module for the split component synthesis method of diagnostic meta-analysis

Luis Furuya-Kanamori () and Suhail AR Doi
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Luis Furuya-Kanamori: Research School of Population Health, Australian National University
Suhail AR Doi: College of Medicine, Qatar University

Statistical Software Components from Boston College Department of Economics

Abstract: diagma generates a summary ROC curve and uses the split component synthesis (SCS) method for diagnostic meta-analysis. The SCS method synthesises the diagnostic odds ratio (DOR) across studies using the inverse variance heterogeneity model (by default). The pooled DOR is partitioned into its components (summary sensitivity [Se] and specificity [Sp]) using ordinary least squares (OLS) regressions of study-specific logit Se and logit Sp on the centred ln DOR, these OLS regressions produce an intercept equal to the desired summary logit Se and logit Sp. This method has no assumption on the outcome distribution and maintains expected performance metrics under considerable heterogeneity.

Language: Stata
Requires: Stata version 14 and admetan, lfk from SSC (q.v.)
Keywords: ROC; diagnostic odds ratio; meta-analysis (search for similar items in EconPapers)
Date: 2020-07-20, Revised 2021-10-16
Note: This module should be installed from within Stata by typing "ssc install diagma". 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.
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http://fmwww.bc.edu/repec/bocode/d/diagma.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/diagma.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/diagma_example_data.dta sample data file (application/x-stata)

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