#StackBounty: #mixed-model #random-variable #meta-analysis #incidence-rate-ratio Meta-analysis with random effects on prevalence data w…

Bounty: 50

I am running a meta analysis on prevalence data. Participants can belong to one of four groups. Each study produces the percentage of participants that belong to each group (e.g., Group A: 50%; Group B: 20%; Group C: 10%; Group D: 20%).

I am running a meta-analysis with random effects to produce the overall prevalence of membership in each group, accounting for the different sample sizes of each study.

When I do this for each group individually, the prevalence values do not add up to 100. Is this to be expected?


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