Meta-analysis of clinical trials as a scientific discipline. II: Replicate variability and comparison of studies that agree and disagree

Autor:	Jayne Berrier, Henry S. Sacks, Thomas C. Chalmers, Raguraman Nagalingam, Dinah Reitman, Howard A. Levin
Rok vydání:	1987
Předmět:	Statistics and Probability Clinical Trials as Topic Multivariate analysis Epidemiology Replicate law.invention Clinical trial Randomized controlled trial law Data Interpretation Statistical Meta-analysis Statistics Humans Psychology Clinical psychology
Zdroj:	Statistics in Medicine. 6:733-744
ISSN:	1097-0258 0277-6715
DOI:	10.1002/sim.4780060704
Popis:	The replicate variability of meta-analyses of controlled clinical trials has been assessed as a measure of scientific precision. 46 of 91 known meta-analysis papers were divided into 20 cohorts of studies of the same therapies. Ten cohorts contained meta-analyses with different statistical conclusions; 14 contained differing clinical conclusions with a wider spread than the statistically differing studies. Possible causes of variability, such as different trials included, different policies regarding the inclusion of non-randomized and unpublished trials, and different statistical methodologies, were not obvious causes of differing conclusions. Further work in this area should include multivariate analyses in order to explore possible interactions in the factors accounting for the variability found in replicate meta-analyses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec2310cb3ebc18b50e8f23b4f633ad8 https://doi.org/10.1002/sim.4780060704 Zobrazit plný text záznamu Plný text