Exact logistic models for nested binary data
Article first published online: 13 JAN 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 30, Issue 8, pages 866–876, 15 April 2011
How to Cite
Troxler, S., Lalonde, T. and Wilson, J. R. (2011), Exact logistic models for nested binary data. Statist. Med., 30: 866–876. doi: 10.1002/sim.4157
- Issue published online: 22 MAR 2011
- Article first published online: 13 JAN 2011
- Manuscript Accepted: 27 OCT 2010
- Manuscript Received: 20 MAR 2009
- small sample
The use of logistic models for independent binary data has relied first on asymptotic theory and later on exact distributions for small samples. However, the use of logistic models for dependent analysis based on exact analysis is not as common. Moreover, attention is usually given to one-stage clustering. In this paper, we extend the exact techniques to address hypothesis testing (estimation is not addressed) for data with second-stage and probably higher levels of clustering. The methods are demonstrated through a somewhat generic example using mathrmC+ + program. Copyright © 2011 John Wiley & Sons, Ltd.