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Outcome selection bias in meta-analysis
P R Williamson
Centre for Medical Statistics and Health Evaluation, University of Liverpool, Liverpool, UK, prw{at}liv.ac.uk
C Gamble
Centre for Medical Statistics and Health Evaluation, University of Liverpool, Liverpool, UK
D G Altman
Centre for Statistics in Medicine, Oxford, UK
J L Hutton
Department of Statistics, University of Warwick, Coventry, UK
Publication bias has been previously identified as a threat to the validity of a meta-analysis. Recently, new evidence has documented an additional threat to validity, the selective reporting of trial outcomes within published studies. Several diseases have several possible measures of outcome. Some articles might report only a selection of those outcomes, perhaps those with statistically significant results. In this article, we review this problem while addressing the questions: what is within-study selective reporting? how common is it? why is it done? how can it mislead? how can it be detected?, and finally, what is the solution? We recommend that both publication bias and selective reporting should be routinely investigated in systematic reviews.
Statistical Methods in Medical Research, Vol. 14, No. 5,
515-524 (2005)
DOI: 10.1191/0962280205sm415oa
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