A test for publication bias in meta-analysis with sparse binary data
Article first published online: 5 JUN 2006
Copyright © 2006 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 26, Issue 4, pages 721–733, 20 February 2007
How to Cite
Schwarzer, G., Antes, G. and Schumacher, M. (2007), A test for publication bias in meta-analysis with sparse binary data. Statist. Med., 26: 721–733. doi: 10.1002/sim.2588
- Issue published online: 17 JAN 2007
- Article first published online: 5 JUN 2006
- Manuscript Accepted: 22 MAR 2006
- Manuscript Received: 9 MAR 2005
- Deutsche Forschungsgemeinschaft. Grant Number: Schu 756/6-1
- binary outcome data;
- test of bias;
- detection of bias
A new test for the detection of publication bias in meta-analysis with sparse binary data is proposed. The test statistic is based on observed and expected cell frequencies, and the variance of the observed cell frequencies. These quantities are utilized in a rank correlation test. Type I error rate and power of the test are evaluated in simulations; results are compared to those of two other commonly used test procedures. Sample sizes were generated according to findings in a survey of eight German medical journals. Simulation results indicate that, in contrast to existing test procedures, the new test holds the prescribed significance level when data are sparse. However, the power of all tests is low in many situations of practical importance. Copyright © 2006 John Wiley & Sons, Ltd.