Conclusions beyond support: overconfident estimates in mixed models
Mixed-effect models are frequently used to control for the nonindependence of data points, for example, when repeated measures from the same individuals are available. The aim o...
Publications
5 shownA general and simple method for obtaining <i>R</i> <sup>2</sup> from generalized linear mixed‐effects models
Summary The use of both linear and generalized linear mixed‐effects models ( LMM s and GLMM s) has become popular not only in social and medical sciences, but also in biological...
Simple means to improve the interpretability of regression coefficients
Summary 1. Linear regression models are an important statistical tool in evolutionary and ecological studies. Unfortunately, these models often yield some uninterpretable estima...
Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists
Repeatability (more precisely the common measure of repeatability, the intra‐class correlation coefficient, ICC) is an important index for quantifying the accuracy of measuremen...
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...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 16,276
- Institution
- Max Planck Society
External Links
Identifiers
- ORCID
- 0000-0002-9124-2261
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.