The question is relatively simple although it may won't be possible to answer at all. In meta-analysis using random-effect model, we can choose between several different methods for estimating tau (e.g. DerSimonian-Laird, Maximum Likelihood, Restricted Maximum Likelihood etc.).
How can one choose between these different methods? Is that anyone recommended over other? Do the choice depends from the nature of data or outcome (i.e. different choices should be made for meta-analysis of Odds Ratios vs. meta-analysis of prevalence/incidence rates etc.)?
