Hello,  I would like to do a meta-analysis with the package « metafor ». Ideally I would like to use a mixed model because Iâm interested to see the effect of some moderators. But the data set I managed to collect from literature presents two limits.  -        Firstly, for each observation, I have means for a treatment and for a control, but I donât always have corresponding standard deviations (52 of a total of 93 observations donât have standard deviations). Nevertheless I have the sample sizes for all observations so I wonder if it was possible to weight observations by sample size in the package « metafor ». -        Secondly, some observations are probably not independent as I have sometimes several relevant observations for a same design. More precisely, for these cases, the control mean is identical but treatment means varied. Ideally, I would not like to do a weighted average for these non-independent observations because these observations represent levels of a moderator. I know that the package « metafor » is not designed for the analysis of correlated outcomes. What are the dangers of using the package even if observations are not really independent ?   Thank you for your help,  Ãmilie. [[alternative HTML version deleted]]
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