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Register for: Performing meta-analyses in the case of very few studies
Performing meta-analyses in the case of very few studies
Duration:
60 minutes
60 minutes
Agenda:
Although meta-analyses with very few studies are very common, performing meta-analyses in the case of very few studies remains challenging. The heterogeneity parameter cannot be estimated reliably, the choice between the fixed-effect and random-effects model is difficult, and the use of appropriate random-effects models frequently has very low power.
This Cochrane Learning Live webinar explains various approaches to performing meta-analyses with very few studies. A framework for choosing a model and selecting an estimation method is described in order to give a useful summary of the study results even if very few studies are available.
The session is aimed at anyone interested in performing meta-analyses in the case of very few studies or wants to assess the adequacy of the methods applied for published meta-analyses with very few studies.
Log in to registerAlthough meta-analyses with very few studies are very common, performing meta-analyses in the case of very few studies remains challenging. The heterogeneity parameter cannot be estimated reliably, the choice between the fixed-effect and random-effects model is difficult, and the use of appropriate random-effects models frequently has very low power.
This Cochrane Learning Live webinar explains various approaches to performing meta-analyses with very few studies. A framework for choosing a model and selecting an estimation method is described in order to give a useful summary of the study results even if very few studies are available.
The session is aimed at anyone interested in performing meta-analyses in the case of very few studies or wants to assess the adequacy of the methods applied for published meta-analyses with very few studies.
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