Common errors in meta-analysis – lessons from the Cochrane review screening programme

The objectives of this webinar are to highlight common statistical errors made in Cochrane Systematic Reviews, and to provide guidance to help authors and editors address these errors.

The Cochrane Editorial Unit (CEU) quality assurance team has been screening new reviews against key MECIR standards since September 2013. During the course of this work, it has become notable that many of the same errors frequently occur in the Data and Analysis section of the review. This can have a serious impact, as even the smallest statistical error can change the interpretation of the results. Examples of these common errors include data extraction errors, Unit of Analyses errors, and inappropriate methods of performing Subgroup Analyses.

The purpose of this webinar is to improve review authors and editors awareness of these errors, thus helping them to identify, rectify, and ultimately avoid making these errors.

The webinar will be presented by Dr Kerry Dwan, Statistical Editor at the Cochrane Editorial Unit. Note that the webinar content will be the same as in the 'Common errors in meta-analysis – lessons and learning from Cochrane review screening programme' workshop delivered on Sept 14, 2017 at the Global Evidence Summit in Cape Town.

Sign up

Thursday 16th November 09.00 UTC [check in your timezoneSIGN UP HERE