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A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models
Author(s) -
Neuhaus John M.,
McCulloch Charles E.,
Boylan Ross
Publication year - 2011
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2010.01474_1.x
Subject(s) - fallacy , type i and type ii errors , random effects model , type (biology) , generalized linear mixed model , mathematics , random error , biometrics , mixed model , econometrics , statistics , linear model , computer science , artificial intelligence , meta analysis , medicine , ecology , philosophy , epistemology , biology
Summary Litière, 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.