Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models

  • Ciprian M. Crainiceanu
Part of the Lecture Notes in Statistics book series (LNS, volume 192)


Mixed models are a powerful inferential tool with a wide range of applications including longitudinal studies, hierarchical modeling, and smoothing. Mixed models have become the state of the art for statistical information exchange and correlation modeling. Their popularity has been augmented by the availability of dedicated software, e.g., the Mixed procedure in SAS, the lme function in R and S², or the xtmixed f un c t i on i n STATA.


Variance Component Likelihood Ratio Test Linear Mixed Model Null Distribution Nuisance Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Ciprian Crainiceanu's work was supported by NIH Grant AG025553-02 on the Effects of Aging on Sleep Architecture.


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Department of BiostatisticsJohns Hopkins UniversityBaltimoreUS

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