Article (Scientific journals)
Issues in performing a network meta-analysis.
Senn, S; Gavini, F; Magrez, D et al.
2013In Statistical Methods in Medical Research, 22
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Keywords :
components of variance; incomplete blocks; indirect comparisons; mean-mean multiple comparisons plot
Abstract :
[en] The example of the analysis of a collection of trials in diabetes consisting of a sparsely connected network of 10 treatments is used to make some points about approaches to analysis. In particular various graphical and tabular presentations, both of the network and of the results are provided and the connection to the literature of incomplete blocks is made. It is clear from this example that is inappropriate to treat the main effect of trial as random and the implications of this for analysis are discussed. It is also argued that the generalisation from a classic random-effect meta-analysis to one applied to a network usually involves strong assumptions about the variance components involved. Despite this, it is concluded that such an analysis can be a useful way of exploring a set of trials.
Disciplines :
Mathematics
Endocrinology, metabolism & nutrition
Author, co-author :
Senn, S
Gavini, F
Magrez, D
SCHEEN, André  ;  Centre Hospitalier Universitaire de Liège - CHU > Diabétologie,nutrition, maladies métaboliques
Language :
English
Title :
Issues in performing a network meta-analysis.
Publication date :
2013
Journal title :
Statistical Methods in Medical Research
ISSN :
0962-2802
eISSN :
1477-0334
Publisher :
SAGE Publications, London, United Kingdom
Volume :
22
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 April 2012

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