Beyond classical meta-analysis: can inadequately reported studies be included?
Classical meta-analysis requires the same data from each clinical trial, thus data-reporting must be of a high-quality. Imputation methods are used to include studies that provide incomplete information on variability and the fixed and random effects of a drug. Regression models can be used to inclu...
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iium-55562011-11-21T23:14:56Z http://irep.iium.edu.my/5556/ Beyond classical meta-analysis: can inadequately reported studies be included? Roberson, Chris Nik Idris, Nik Ruzni Boyle, Peter HA Statistics Classical meta-analysis requires the same data from each clinical trial, thus data-reporting must be of a high-quality. Imputation methods are used to include studies that provide incomplete information on variability and the fixed and random effects of a drug. Regression models can be used to include studies other than randomized placebo-controlled studies. In the example outlined here, the use of non-randomized single-arm studies and studies against comparator treatments has little influence on the estimation of the treatment effect in comparison with placebo, an effect that is based on the randomized placebo-controlled studies. The inclusion of other studies serves to increase the precision of the effect of the treatment compared with baseline. Although multiple imputation techniques enable a larger number of studies to be included, which will typically increase the precision of the estimated effect, a careful sensitivity analysis is also required Elsevier Science Limited 2004-11-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/5556/1/DDT_beyond_classical_MA.pdf Roberson, Chris and Nik Idris, Nik Ruzni and Boyle, Peter (2004) Beyond classical meta-analysis: can inadequately reported studies be included? Drug Discovery Today, 9 (21). pp. 924-931. ISSN 1359-6446 http://www.sciencedirect.com/science/article/pii/S135964460403274X doi:10.1016/S1359-6446(04)03274-X |
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HA Statistics Roberson, Chris Nik Idris, Nik Ruzni Boyle, Peter Beyond classical meta-analysis: can inadequately reported studies be included? |
description |
Classical meta-analysis requires the same data from each clinical trial, thus data-reporting must be of a high-quality. Imputation methods are used to include studies that provide incomplete information on variability and the fixed and random effects of a drug. Regression models can be used to include studies other than randomized placebo-controlled studies. In the example outlined here, the use of non-randomized single-arm studies and studies against comparator treatments has little influence on the estimation of the treatment effect in comparison with placebo, an effect that is based on the randomized placebo-controlled studies. The inclusion of other studies serves to increase the precision of the effect of the treatment compared with baseline. Although multiple imputation techniques enable a larger number of studies to be included, which will typically increase the precision of the estimated effect, a careful sensitivity analysis is also required |
format |
Article |
author |
Roberson, Chris Nik Idris, Nik Ruzni Boyle, Peter |
author_facet |
Roberson, Chris Nik Idris, Nik Ruzni Boyle, Peter |
author_sort |
Roberson, Chris |
title |
Beyond classical meta-analysis: can inadequately reported studies be included? |
title_short |
Beyond classical meta-analysis: can inadequately reported studies be included? |
title_full |
Beyond classical meta-analysis: can inadequately reported studies be included? |
title_fullStr |
Beyond classical meta-analysis: can inadequately reported studies be included? |
title_full_unstemmed |
Beyond classical meta-analysis: can inadequately reported studies be included? |
title_sort |
beyond classical meta-analysis: can inadequately reported studies be included? |
publisher |
Elsevier Science Limited |
publishDate |
2004 |
url |
http://irep.iium.edu.my/5556/ http://irep.iium.edu.my/5556/ http://irep.iium.edu.my/5556/ http://irep.iium.edu.my/5556/1/DDT_beyond_classical_MA.pdf |
first_indexed |
2023-09-18T20:14:12Z |
last_indexed |
2023-09-18T20:14:12Z |
_version_ |
1777407678487724032 |