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

Author

Listed:
  • Luis Furuya-Kanamori

    (Research School of Population Health, Australian National University)

  • Suhail AR Doi

    (College of Medicine, Qatar University)

Programming Language

Stata

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.

Suggested Citation

  • Luis Furuya-Kanamori & Suhail AR Doi, 2020. "DIAGMA: Stata module for the split component synthesis method of diagnostic meta-analysis," Statistical Software Components S458815, Boston College Department of Economics, revised 16 Oct 2021.
    • Handle: RePEc:boc:bocode:s458815
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/d/diagma.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/diagma.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/diagma_example_data.dta
    File Function: sample data file
    Download Restriction: no
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