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

Author

Listed:
  • Ben Dwamena

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

Programming Language

Abstract

MIDAS provides a comprehensive suite of commands for bivariate meta-analysis of diagnostic test accuracy (DTA) studies. It implements five estimation methods (MLE, QRSIM, Bayesian MH, HMC/NUTS via CmdStan, INLA via R-INLA), extensive graphical output (forest plots, SROC curves, Fagan nomograms, likelihood ratio matrices, conditional probability plots), heterogeneity investigation (subgroup analysis, meta-regression), quality assessment (QUADAS/QUADAS-2), clinical utility analysis (HSRUC), and data conversion utilities.

Suggested Citation

  • Ben Dwamena, 2007. "MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies," Statistical Software Components S456880, Boston College Department of Economics, revised 02 Apr 2026.
    • Handle: RePEc:boc:bocode:s456880
    Note: This module should be installed from within Stata by typing "ssc install midas". 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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    Cited by:

    1. Jiayuan Wu & Liren Hu & Gaohua Zhang & Fenping Wu & Taiping He, 2015. "Accuracy of Presepsin in Sepsis Diagnosis: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    2. Bingsheng Li & Aihua Gan & Xiaolong Chen & Xinying Wang & Weifeng He & Xiaohui Zhang & Renxiang Huang & Shuzhu Zhou & Xiaoxiao Song & Angao Xu, 2016. "Diagnostic Performance of DNA Hypermethylation Markers in Peripheral Blood for the Detection of Colorectal Cancer: A Meta-Analysis and Systematic Review," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-13, May.
    3. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    4. Guocan Yu & Wuchen Zhao & Yanqin Shen & Pengfei Zhu & Hong Zheng, 2020. "Metagenomic next generation sequencing for the diagnosis of tuberculosis meningitis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-12, December.

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