Quantifying and adjusting the effects of publication bias in continuous meta-analysis
This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and t...
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| Format: | Proceeding Paper |
| Language: | English English |
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2012
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| Online Access: | http://irep.iium.edu.my/26651/ http://irep.iium.edu.my/26651/1/published_article.pdf http://irep.iium.edu.my/26651/2/cert_of_presentation.pdf |
| _version_ | 1848779680969129984 |
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| author | Nik Idris, Nik Ruzni |
| author_facet | Nik Idris, Nik Ruzni |
| author_sort | Nik Idris, Nik Ruzni |
| building | IIUM Repository |
| collection | Online Access |
| description | This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and the coverage probability. The results demonstrate that if publication bias is not adjusted it could lead to up to 40% bias in the treatment effect estimates. Utilization of the trim and fill method could reduce the bias in the overall estimate by more than half. The method is optimum in presence of moderate underlying bias but has minimal effects in presence of low and severe publication bias. Additionally, the trim and fill method improves the coverage probability by more than half when subjected to the same level of publication bias as those of the unadjusted data. The method however tends to produce false positive results and will incorrectly adjust the data for publication bias up to 45 % of the time. Nonetheless, the bias introduced into the estimates due to this adjustment is minimal |
| first_indexed | 2025-11-14T15:21:38Z |
| format | Proceeding Paper |
| id | iium-26651 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:21:38Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-266512012-12-20T05:34:50Z http://irep.iium.edu.my/26651/ Quantifying and adjusting the effects of publication bias in continuous meta-analysis Nik Idris, Nik Ruzni Q Science (General) This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and the coverage probability. The results demonstrate that if publication bias is not adjusted it could lead to up to 40% bias in the treatment effect estimates. Utilization of the trim and fill method could reduce the bias in the overall estimate by more than half. The method is optimum in presence of moderate underlying bias but has minimal effects in presence of low and severe publication bias. Additionally, the trim and fill method improves the coverage probability by more than half when subjected to the same level of publication bias as those of the unadjusted data. The method however tends to produce false positive results and will incorrectly adjust the data for publication bias up to 45 % of the time. Nonetheless, the bias introduced into the estimates due to this adjustment is minimal 2012-09-01 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/26651/1/published_article.pdf application/pdf en http://irep.iium.edu.my/26651/2/cert_of_presentation.pdf Nik Idris, Nik Ruzni (2012) Quantifying and adjusting the effects of publication bias in continuous meta-analysis. In: ICMCSSE 2012 : International Conference on Mathematical, Computational and Statistical Sciences, and Engineering, 12-13 September 2012, Singapore. http://www.waset.org/conferences/2012/singapore/icmcsse/ |
| spellingShingle | Q Science (General) Nik Idris, Nik Ruzni Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title | Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title_full | Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title_fullStr | Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title_full_unstemmed | Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title_short | Quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| title_sort | quantifying and adjusting the effects of publication bias in continuous meta-analysis |
| topic | Q Science (General) |
| url | http://irep.iium.edu.my/26651/ http://irep.iium.edu.my/26651/ http://irep.iium.edu.my/26651/1/published_article.pdf http://irep.iium.edu.my/26651/2/cert_of_presentation.pdf |