Keywords
Affiliated Institutions
Related Publications
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi s...
MCMC Methods for Multi-Response Generalized Linear Mixed Models: The<b>MCMCglmm</b><i>R</i>Package
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in clo...
Nested by design: model fitting and interpretation in a mixed model era
Summary Nested data structures are ubiquitous in the study of ecology and evolution, and such structures need to be modelled appropriately. Mixed‐effects models offer a powerful...
Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis
Statistical heterogeneity and small-study effects are 2 major issues affecting the validity of meta-analysis. In this article, we introduce the concept of a limit meta-analysis,...
An <i>R</i><sup>2</sup> statistic for fixed effects in the linear mixed model
Abstract Statisticians most often use the linear mixed model to analyze Gaussian longitudinal data. The value and familiarity of the R 2 statistic in the linear univariate model...
Publication Info
- Year
- 2011
- Type
- article
- Volume
- 44
- Issue
- 1
- Pages
- 232-247
- Citations
- 45
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.3758/s13428-011-0145-1