Please use this identifier to cite or link to this item:
Title: Planning future studies based on the conditional power of a meta-analysis
Authors: Roloff, V.
Higgins, Julian P. T.
Sutton, Alex J.
First Published: 11-Jul-2012
Publisher: Wiley
Citation: Statistics in Medicine (2013) 32: 11–24.
Abstract: Systematic reviews often provide recommendations for further research. When meta-analyses are inconclusive, such recommendations typically argue for further studies to be conducted. However, the nature and amount of future research should depend on the nature and amount of the existing research. We propose a method based on conditional power to make these recommendations more specific. Assuming a random-effects meta-analysis model, we evaluate the influence of the number of additional studies, of their information sizes and of the heterogeneity anticipated among them on the ability of an updated meta-analysis to detect a prespecified effect size. The conditional powers of possible design alternatives can be summarized in a simple graph which can also be the basis for decision making. We use three examples from the Cochrane Database of Systematic Reviews to demonstrate our strategy. We demonstrate that if heterogeneity is anticipated, it might not be possible for a single study to reach the desirable power no matter how large it is.
DOI Link: 10.1002/sim.5524
ISSN: 0277-6715
eISSN: 1097-0258
Type: Journal Article
Rights: Re-use of this article is permitted in accordance with the Terms and Conditions set out at
Appears in Collections:Published Articles, Dept. of Health Sciences

Files in This Item:
File Description SizeFormat 
Roloff_et_al-2013-Statistics_in_Medicine.pdfPublisher version655.67 kBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.