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dc.contributor.author | Takeshima, Nozomi | en |
dc.contributor.author | Sozu, Takashi | en |
dc.contributor.author | Tajika, Aran | en |
dc.contributor.author | Ogawa, Yusuke | en |
dc.contributor.author | Hayasaka, Yu | en |
dc.contributor.author | Furukawa, Toshiaki A | en |
dc.contributor.alternative | 竹島, 望 | ja |
dc.date.accessioned | 2014-04-03T06:26:56Z | - |
dc.date.available | 2014-04-03T06:26:56Z | - |
dc.date.issued | 2014-02-21 | - |
dc.identifier.issn | 1471-2288 | - |
dc.identifier.uri | http://hdl.handle.net/2433/185153 | - |
dc.description.abstract | Background: To examine empirically whether the mean difference (MD) or the standardised mean difference (SMD) is more generalizable and statistically powerful in meta-analyses of continuous outcomes when the same unit is used. Methods: From all the Cochrane Database (March 2013), we identified systematic reviews that combined 3 or more randomised controlled trials (RCT) using the same continuous outcome. Generalizability was assessed using the I-squared (I2) and the percentage agreement. The percentage agreement was calculated by comparing the MD or SMD of each RCT with the corresponding MD or SMD from the meta-analysis of all the other RCTs. The statistical power was estimated using Z-scores. Meta-analyses were conducted using both random-effects and fixed-effect models. Results: 1068 meta-analyses were included. The I2 index was significantly smaller for the SMD than for the MD (P < 0.0001, sign test). For continuous outcomes, the current Cochrane reviews pooled some extremely heterogeneous results. When all these or less heterogeneous subsets of the reviews were examined, the SMD always showed a greater percentage agreement than the MD. When the I2 index was less than 30%, the percentage agreement was 55.3% for MD and 59.8% for SMD in the random-effects model and 53.0% and 59.8%, respectively, in the fixed effect model (both P < 0.0001, sign test). Although the Z-scores were larger for MD than for SMD, there were no differences in the percentage of statistical significance between MD and SMD in either model. Inclusions: The SMD was more generalizable than the MD. The MD had a greater statistical power than the SMD but did not result in material differences. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | BioMed Central | en |
dc.rights | © 2014 Takeshima et al.; licensee BioMed Central Ltd. | en |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | en |
dc.title | Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference? | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | BMC medical research methodology | en |
dc.identifier.volume | 14 | - |
dc.relation.doi | 10.1186/1471-2288-14-30 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 30 | - |
dc.identifier.pmid | 24559167 | - |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
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