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

Robertson, C. and Nik Idris, N.R. and Boyle, P. (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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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
ID code: 4597
Keywords: drugs, clinical trials, regression models, statistics, health, Medicine (General), Probabilities. Mathematical statistics, Public health. Hygiene. Preventive Medicine
Subjects: Medicine > Medicine (General)
Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Public aspects of medicine > Public health. Hygiene. Preventive Medicine
Department: Faculty of Science > Mathematics and Statistics
Unknown Department
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 06 Nov 2007
    Last modified: 10 Dec 2013 13:19
    URI: http://strathprints.strath.ac.uk/id/eprint/4597

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