A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models
Article first published online: 20 JUN 2011
© 2010, The International Biometric Society
Volume 67, Issue 2, pages 654–656, June 2011
How to Cite
Neuhaus, J. M., McCulloch, C. E. and Boylan, R. (2011), A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models. Biometrics, 67: 654–656. doi: 10.1111/j.1541-0420.2010.01474_1.x
- Issue published online: 20 JUN 2011
- Article first published online: 20 JUN 2011
- Received May 2009. Revised September 2009. Accepted September 2009.
- Conditional likelihood;
- Generalized linear mixed models;
- Misspecified random effect distributions;
SummaryLitière, Alonso, and Molenberghs (2007, Biometrics, 63, 1038–1044) presented the results of simulation studies that they claimed showed that misspecification of the shape of the random effects distribution can produce marked increases in Type II error (decreases in power) of tests based on fits of generalized linear mixed models. However, the article contains a logical fallacy that invalidates this claim. We present logically correct simulation studies that demonstrate little increase in Type II error, consistent with the earlier work that shows little effect due to misspecification.