Sequential methods for random-effects meta-analysis

Higgins, Julian P. T. and Whitehead, Anne and Simmonds, Mark (2011) Sequential methods for random-effects meta-analysis. Statistics in Medicine, 30 (9). pp. 903-921. ISSN 1097-0258

Full text not available from this repository.

Abstract

Although meta-analyses are typically viewed as retrospective activities, they are increasingly being applied prospectively to provide up-to-date evidence on specific research questions. When meta-analyses are updated account should be taken of the possibility of false-positive findings due to repeated significance tests. We discuss the use of sequential methods for meta-analyses that incorporate random effects to allow for heterogeneity across studies. We propose a method that uses an approximate semi-Bayes procedure to update evidence on the among-study variance, starting with an informative prior distribution that might be based on findings from previous meta-analyses. We compare our methods with other approaches, including the traditional method of cumulative meta-analysis, in a simulation study and observe that it has Type I and Type II error rates close to the nominal level. We illustrate the method using an example in the treatment of bleeding peptic ulcers.

Item Type:
Journal Article
Journal or Publication Title:
Statistics in Medicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
ID Code:
52168
Deposited By:
Deposited On:
20 Dec 2011 16:36
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Aug 2020 03:40