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HIBI: Stata module to compute Harms index and benefits index (Hi-Bi) for measuring the impact of zero-cases studies in evidence synthesis practice

Author

Listed:
  • Chang Xu

    (Anhui Medical University, China)

  • Luis Furuya-Kanamori

    (University of Queensland)

Programming Language

Stata

Abstract

hibi generates the Hi-Bi plot and estimates the Hi and Bi metrics to detect the potential impacts of double-zero studies on the results of a meta-analysis. The Hi and Bi metrics are defined by the minimal number of cases added to the treatment arm (Hi) or control arm (Bi) of studies with no cases in a meta-analysis that lead to a change of the direction of the effect or its statistical significance. This idea is inspired by the fragility index discussed by Atal et al.

Suggested Citation

  • Chang Xu & Luis Furuya-Kanamori, 2022. "HIBI: Stata module to compute Harms index and benefits index (Hi-Bi) for measuring the impact of zero-cases studies in evidence synthesis practice," Statistical Software Components S459047, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459047
    Note: This module should be installed from within Stata by typing "ssc install hibi". 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/h/hibi.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/h/hibi.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/h/hibi_example_data.dta
    File Function: sample data file
    Download Restriction: no
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