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  • Meta-analysis using different units of measurement

    Hello, I'm compiling data for a meta-analysis regarding enzyme concentrations in a patient group compared to a control group that are quantified in papers using different units of measurement, for example μmol/l, nmol/ml, pg/ml, ng/ml etc. My question seems rather elementary, but I can't find sufficient evidence elsewhere to back up my thinking. My inclination is to forego converting the values to a standard unit, but rather to use the standardized mean difference as a 'neutral' measure. Is this correct?

  • #2
    Welcome to the Stata Forum / Statalist,

    I gather your decision to rely on the SMD is quite reasonable.
    Best regards,

    Marcos

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    • #3
      Thank you Marcos!

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      • #4
        Hi Emily. The formula for the standardized mean difference will have some kind of pooled SD as the denominator, I suppose. This means that two studies showing the same mean difference could show very different standardized mean differences if their pooled SDs differed. Or two studies with very different mean differences could show exactly the same SMD given the right combination of SDs. This makes me uncomfortable with standardized measures. My initial inclination would be to convert the raw mean differences to a common scale, if possible. YMMV.
        --
        Bruce Weaver
        Email: [email protected]
        Web: http://sites.google.com/a/lakeheadu.ca/bweaver/
        Version: Stata/MP 18.0 (Windows)

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        • #5
          Here's an article that discusses some of the problems associated with standardized measures of effect size: HTH.
          --
          Bruce Weaver
          Email: [email protected]
          Web: http://sites.google.com/a/lakeheadu.ca/bweaver/
          Version: Stata/MP 18.0 (Windows)

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          • #6
            Hi Emily
            Rebecca Walwyn and Chris Roberts' recent article is about meta-analysis of standardised mean differences and may be helpful.
            http://onlinelibrary.wiley.com/doi/1....7186/abstract
            Tim

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            • #7
              I'm sorry I'm so late to reply but thank you so much everyone!

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