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  • METAN command on log-transformed odds ratios

    Dear Statalist Member,

    I have several Effect Sizes (ES) with accompanied 95% Confidence Intervals (ES_lci = lower confidence interval of estimate and ES_uci = upper confidence interval of estimate) of different studies and want to get a summary estimate using a random-effect model.

    I now used the following commands:
    Code:
    metan ES ES_lci ES_uci, random
    
    *** Getting a model with log-transformed ES
    gen ln_ES = ln(ES)
    gen ln_lci = ln(ES_lci)
    gen ln_uci = ln(ES_uci)
    
    metan ln_ES ln_lci ln_uci, random eform
    First, I was surprised that although the forrest plots are quite similar, the weights and thus the summary estimate is different between the "log-transformed-effect-size" model and the "normal effect-size" model.

    Does anyone know what is the correct way to do or if there is an advantage when to use the log-transformed model (at the first glance, the weights seem to be closer to each other, thus studies with a smaller sample size are weighted higher and studies with a large sample size smaller)?

    Thank you in advance for your opinion.
    Martin
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