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[R-meta] I have any problems with meta-analysis of proportions

Dear Martin
On 08/04/2021 17:15, Martin Lobo wrote:
That seems to me wrong. It is a meta-analysis so it needs to be reported 
and assessed as a meta-analysis. What you would use for the primary 
studies is irrelevant. After all for a meta-analysis of randomised 
trials you would use PRISMA and CONSORT.

As far as heterogeneity is concerned I would not be bothered about it. 
In a m-a of observational studies it is to be expected. After all, 
suppose you did a study on a condition with a global impact. Would you 
expect to see the same results in Algeria, Angola, Argentina, Australia, 
Austria, ...? One thing I would suggest, following on from an insightful 
comment by Nicky in an earlier part of the thread is that you include a 
moderator with two levels: study was a trial, study was a cohort. This 
would help to account for the probably differences in case-mix between 
the two sorts of study. I would also suggest that you incorporate 
prediction intervals as these may be more be beneficial in generalising 
your results.

For some helpful comments about heterogeneity see

@article{rucker08b,
    author = {R\"ucker, G and Schwarzer, G and Carpenter, J R and
       Schumacher, M},
    title = {Undue reliance on {$I^2$} in assessing heterogeneity
       may mislead},
    journal = {BMC Medical Research Methodology},
    year = {2008},
    volume = {8},
    number = {79},
    keywords = {meta-analysis, heterogeneity}
}


For prediction intervals see

@article{riley11,
    author = {Riley, R D and Higgins, J P T and Deeks, J J},
    title = {Interpretation of random effects meta--analyses},
    journal = {British Medical Journal},
    year = {2011},
    volume = {342},
    pages = {964--967},
    keywords = {meta-analysis, random effects}
}