A study on the effects of different levels of data on the overall meta-analysis estimates
Meta-analysis that pools two levels of data, namely, aggregate data (AD) and individual patient data (IPD) is increasingly common. The implications of pooling these data on the overall meta-analysis estimates have not been fully explored. We examined some of the statistical properties of overall est...
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| Format: | Article |
| Language: | English |
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Pushpa Publishing House
2015
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| Online Access: | http://irep.iium.edu.my/42216/ http://irep.iium.edu.my/42216/1/06--73-86--PPH-1409008-MS_-_Final_version.pdf |
| _version_ | 1848782237287317504 |
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| author | Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah |
| author_facet | Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah |
| author_sort | Nik Idris, Nik Ruzni |
| building | IIUM Repository |
| collection | Online Access |
| description | Meta-analysis that pools two levels of data, namely, aggregate data (AD) and individual patient data (IPD) is increasingly common. The implications of pooling these data on the overall meta-analysis estimates have not been fully explored. We examined some of the statistical properties of overall estimate of the treatment effects from meta-analysis which combine the AD and IPD studies. We compared these estimates with those from the all-AD and all-IPD meta-analyses in terms of the bias, root-mean-square-error and coverage probability. We used simulated meta-analyses to evaluate the behaviour of these estimates. The results indicated superiority of estimates from IPD meta-analysis, compared to those from combined-level studies and AD studies, in terms of the accuracy and efficiency of the estimates. Additionally, for the same statistical properties examined, the estimates from combined-level studies displayed better results over those from all-AD meta-analysis. In the scenario involving different ratios of AD:IPD, we found that combined-level studies generated estimates with better statistical properties, irrelevant of the composition of the AD:IPD ratio. Therefore, whenever possible, we recommend the inclusion of available IPD studies when conducting traditional AD meta-analysis. |
| first_indexed | 2025-11-14T16:02:16Z |
| format | Article |
| id | iium-42216 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:02:16Z |
| publishDate | 2015 |
| publisher | Pushpa Publishing House |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-422162015-07-31T07:50:41Z http://irep.iium.edu.my/42216/ A study on the effects of different levels of data on the overall meta-analysis estimates Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah QA Mathematics Meta-analysis that pools two levels of data, namely, aggregate data (AD) and individual patient data (IPD) is increasingly common. The implications of pooling these data on the overall meta-analysis estimates have not been fully explored. We examined some of the statistical properties of overall estimate of the treatment effects from meta-analysis which combine the AD and IPD studies. We compared these estimates with those from the all-AD and all-IPD meta-analyses in terms of the bias, root-mean-square-error and coverage probability. We used simulated meta-analyses to evaluate the behaviour of these estimates. The results indicated superiority of estimates from IPD meta-analysis, compared to those from combined-level studies and AD studies, in terms of the accuracy and efficiency of the estimates. Additionally, for the same statistical properties examined, the estimates from combined-level studies displayed better results over those from all-AD meta-analysis. In the scenario involving different ratios of AD:IPD, we found that combined-level studies generated estimates with better statistical properties, irrelevant of the composition of the AD:IPD ratio. Therefore, whenever possible, we recommend the inclusion of available IPD studies when conducting traditional AD meta-analysis. Pushpa Publishing House 2015-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/42216/1/06--73-86--PPH-1409008-MS_-_Final_version.pdf Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah (2015) A study on the effects of different levels of data on the overall meta-analysis estimates. Far East Journal of Mathematical Sciences (FJMS), 96 (1). pp. 73-86. ISSN 0972-0871 http://www.pphmj.com/journals/fjms.htm http://dx.doi.org/10.17654/FJMSJan2015_073_086 |
| spellingShingle | QA Mathematics Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah A study on the effects of different levels of data on the overall meta-analysis estimates |
| title | A study on the effects of different levels of data on the overall meta-analysis estimates |
| title_full | A study on the effects of different levels of data on the overall meta-analysis estimates |
| title_fullStr | A study on the effects of different levels of data on the overall meta-analysis estimates |
| title_full_unstemmed | A study on the effects of different levels of data on the overall meta-analysis estimates |
| title_short | A study on the effects of different levels of data on the overall meta-analysis estimates |
| title_sort | study on the effects of different levels of data on the overall meta-analysis estimates |
| topic | QA Mathematics |
| url | http://irep.iium.edu.my/42216/ http://irep.iium.edu.my/42216/ http://irep.iium.edu.my/42216/ http://irep.iium.edu.my/42216/1/06--73-86--PPH-1409008-MS_-_Final_version.pdf |