I am trying to look at the association between a polymorphism and risk of cancer incidence by a meta-analysis. However for some studies we do not have the complete genotype information for the same. We noted allele distribution from the publications and tried to contact authors to obtain the complete genotype data. Some of them, however, haven't responded. So we have done a primary analysis including only studies that have the complete genotype data. Now I wish to do a sensitivity analysis by including the omitted studies and perform the comparisons with the available data. Is this approach correct? or unnecessary?
The question is how will you manage to add the studies, from which results are not available? From my perspective the best thing you can do is to discuss possbile limitation of publication bias. You are aware that the estimation done by metaanalysis could be different because of unpublished results. The issue has to be discussed and explained. Stats Direct shows a plot, from whoch possible publication bias can be assessed, although you know for shure that there is not available data, because you encountered such studies. On the other hand, if the result of the metaanalysis shows a heterogenity test p
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