BMJ 1997;315:617-619 (13 September)
Editorials
Meta-analysis and the meta-epidemiology of clinical research
Meta-analysis is an important contribution to research and practice but it's not a panacea
This week's BMJ contains a
pot-pourri
of materials that deal with the research methodology of meta-analysis. Meta-analysis
in clinical research is based on simple principles: systematically searching out, and, when
possible,
quantitatively combining the results of all studies that have addressed a similar research question.
Given the information explosion in clinical research, the logic of basing research reviews on
systematic searching and careful quantitative compilation of study results is incontrovertible.
However, one aspect of meta-analysis as applied to randomised trials has always been
controversial1 2
combining data from multiple studies into single estimates of treatment effect.
In theory, aggregation of data from multiple trials should enhance the precision and
accuracy
of any pooled result. But combining data requires a leap of faith: it presumes that the differences
among studies are primarily due to chance. In fact, differences in the direction or size of
treatment
effects may be caused by other factors, . . . [Full text of this article]
Publication bias
What is a negative trial?
Data excess
A magic method?

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