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Beyond classical meta-analysis: Can inadequately reported studies be included?

Robertson, 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

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Official URL: http://dx.doi.org/10.1016/S1359-6446(04)03274-X

Abstract

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.

Item Type:Article
Uncontrolled Keywords:Drug Discovery, Multiple imputation, Pharmaceutical Science, Random effects models, Statistical models, Techniques & Methods, Variability estimates
Divisions:Electrical Engineering
ID Code:7379
Deposited By: Norhafizah Hussin
Deposited On:02 Jan 2009 08:01
Last Modified:01 Jun 2010 15:51

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