Hi everyone,
I am planning to perform a meta-analysis using study-specific weighted covariance matrices.
After running drmeta with the standard options to obtain initial results, I extract the variance-covariance matrix for each study (e(Sigma)), apply a weighting transformation, and then attempt to re-run the analysis using these weighted matrices via the mcov() option. Since drmeta does not provide a built-in weighting option, how can I incorporate the e(Sigma) matrices to apply more precise weighting?
I am planning to perform a meta-analysis using study-specific weighted covariance matrices.
After running drmeta with the standard options to obtain initial results, I extract the variance-covariance matrix for each study (e(Sigma)), apply a weighting transformation, and then attempt to re-run the analysis using these weighted matrices via the mcov() option. Since drmeta does not provide a built-in weighting option, how can I incorporate the e(Sigma) matrices to apply more precise weighting?
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