Hello,
 
I would like to do a meta-analysis with the package « metafor ». Ideally I would like to use a mixed model because I’m 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 don’t always have corresponding standard deviations (52 of a total of 93 observations don’t 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,
 
Émilie.
	[[alternative HTML version deleted]]

