Hello,
I am using -meta multilevel- (Stata 18.5) to conduct a three-level random-effects meta-analysis with SMDs nested within studies to account for dependence (as studies contribute multiple effect sizes).
Using the code below resulted in an overall SMD -0.85, 95% CI -1.15 to -0.54 and an I2 = 92.1%.
But when I try to make a forest plot using the below, it displays the results from a conventional meta-analysis treating each effect size as independent (Fig.1 at end of post).
I can change the overall effect size from -1.31 to -0.85 using the below, but I’m not sure if/how it is possible to do this with subgroups.
I am hoping to display the results in the same format as Fig.1 but where the SMD for each subgroup and overall takes into account dependencies. Any suggestions greatly appreciated – thank you!
I am using -meta multilevel- (Stata 18.5) to conduct a three-level random-effects meta-analysis with SMDs nested within studies to account for dependence (as studies contribute multiple effect sizes).
Using the code below resulted in an overall SMD -0.85, 95% CI -1.15 to -0.54 and an I2 = 92.1%.
Code:
meta set Hedgesgrm SE, random(sjonkman) studylabel(Study) studysize(N) meta multilevel Hedgesgrm, relevels(Study) essevariable(SE) estat heterogeneity
Code:
meta forestplot, subgroup(Timepoint)
Code:
meta forestplot, customoverall(-0.85 -1.15 -0.54)
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