Performing meta-analysis with incomplete statistical information in clinical trials


Autoria(s): Ma, J.; Liu, Weiru; Hunter, A.; Zhang, W.
Data(s)

01/08/2008

Resumo

Background: Results from clinical trials are usually summarized in the form of sampling distributions. When full information (mean, SEM) about these distributions is given, performing meta-analysis is straightforward. However, when some of the sampling distributions only have mean values, a challenging issue is to decide how to use such distributions in meta-analysis. Currently, the most common approaches are either ignoring such trials or for each trial with a missing SEM, finding a similar trial and taking its SEM value as the missing SEM. Both approaches have drawbacks. As an alternative, this paper develops and tests two new methods, the first being the prognostic method and the second being the interval method, to estimate any missing SEMs from a set of sampling distributions with full information. A merging method is also proposed to handle clinical trials with partial information to simulate meta-analysis.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/performing-metaanalysis-with-incomplete-statistical-information-in-clinical-trials(e30a10fa-f1fb-4574-8add-e5fd74f8cefe).html

http://dx.doi.org/10.1186/1471-2288-8-56

http://pure.qub.ac.uk/ws/files/12705866/BMC_methodology08.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Ma , J , Liu , W , Hunter , A & Zhang , W 2008 , ' Performing meta-analysis with incomplete statistical information in clinical trials ' BMC Medical Research Methodology , vol 8(1) , pp. 56-66 . DOI: 10.1186/1471-2288-8-56

Tipo

article