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Introduction to meta-analysis 5: Including non-standard studies and non-standard data

Topic category Statistical methods and meta-analysis
Date and Location
Date: 
Friday 21 October 2011 - 16:00 - 17:30
Location: 
Methods Group
Methods Group: 
Statistical Methods Group
Contact person
Contact person: 
Steff Lewis (Contact this person)
Facilitators
First nameLast nameAffiliation and Country
First name: 
Steff
Last name: 
Lewis
Affiliation and Country: 
UK
First name: 
Doug
Last name: 
Altman
Affiliation and Country: 
UK
Target audience
Target audience: 
review authors
Is your workshop restricted to a specific audience or open to all Colloquium participants?: 
Open
Level of knowledge required: 
Intermediate
Type of workshop
Type of workshop: 
Training
Abstract text
Abstract: 
Objective:
The Cochrane Statistics Methods Group has developed a series of workshops addressing statistical guidelines as formulated in the Cochrane Handbook for Systematic Reviews of Interventions. This workshop will provide review authors with the knowledge to recognise and address situations in which a simple meta-analysis may not be appropriate.

Description: Cochrane review authors frequently face data that do not apparently fit into the usual dichotomous or continuous data meta-analyses that can be performed by RevMan. Typical examples are: (i) study designs, such as cross-over trials or cluster-randomised trials; (ii) types of outcome data, such as time-to-event data, ordered categorical data or rates. In this workshop we will review such ‘non-standard’ studies and data, and consider the possibilities for analysing individual studies and combining results in meta-analysis. RevMan offers a ‘generic inverse variance’ outcome type that can, in principle, be used to perform meta-analyses in all of these ‘non-standard’ situations.