Dear experts,

I have a questions about SDM algorithm. In the paper, titled "A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps", you have mentioned that we first computed a map of d values and a map of their variances for each included study during the meta-analysis. I have understand the methods of computing the map of d values according to the details described in the paper. However, how to compute variances map for each study?
Best wishes,
Zhiqiang Sha

Dear Zhiqiang Sha,

fortunately, the variance of a g effect size can be calculated using a formula:
var(g) =  1 / n1 + 1 / n2 + (1 - (df - 2) / (df * J(df)^2)) * g^2

Best,

Joaquim