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Meta-analytical Integration of Diagnostic Accuracy Studies in Stata

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  • Ben Dwamena

    (University of Michigan Medical School and VA Medical Center, Ann Arbor, Michigan)

Abstract

This presentation will demonstrate how to perform diagnostic meta-analysis using user-written macros midas and xtmidas for Stata versions 9 and 10 respectively. Both midas and xtmidas are comprehensive programs of statistical and graphical routines for undertaking meta-analysis of diagnostic test performance in Stata. Primary data synthesis is performed within the bivariate generalized linear mixed modeling framework (binomial likelihood and logit link). Model estimation is by adaptive gaussian quadrature using gllamm and xtmelogit for midas and xtmidas respectively. The estimated coefficients and variance–covariance matrices are used to calculate the summary operating sensitivity and specificity (with confidence and prediction ellipses) in SROC space. Summary likelihood and odds ratios with relevant heterogeneity statistics are provided. midas and xtmidas facilitate statistical and graphical data synthesis and exploratory analyses of unobserved heterogeneity, covariate effects, publication bias, and subgroup analyses. Bayes’ nomograms, likelihood-ratio matrices, and conditional probability plots may be obtained and used to guide clinical decision making.

Suggested Citation

  • Ben Dwamena, 2007. "Meta-analytical Integration of Diagnostic Accuracy Studies in Stata," West Coast Stata Users' Group Meetings 2007 1, Stata Users Group.
    • Handle: RePEc:boc:wsug07:1
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    File URL: http://repec.org/wcsug2007/Dwamena_WCSUG2007.pdf
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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. Helen L Storey & Ying Huang & Chris Crudder & Allison Golden & Tala de los Santos & Kenneth Hawkins, 2015. "A Meta-Analysis of Typhoid Diagnostic Accuracy Studies: A Recommendation to Adopt a Standardized Composite Reference," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-24, November.
    3. 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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