Nested by design: model fitting and interpretation in a mixed model era
By H. Schielzeth, Shinichi Nakagawa. 2013
344 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/13ed360d097ef2815e7679ee1da3441d9a8aa946
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- Shinichi Nakagawa
- H. Schielzeth
- X. Harrison
- Richard Inger
- David Hodgson
- Maria Eugenia Correa-Cano
- Beth S Robinson
- Lynda Donaldson
In Nature and Landscape Conservation
- Shinichi Nakagawa
- X. Harrison
- H. Schielzeth
- David Hodgson
- Richard Inger
- Maria Eugenia Correa-Cano
- Beth S Robinson
- Lynda Donaldson
Citations in the corpus
- A brief introduction to mixed effects modelling and multi-model inference in ecology (2018, background): “In reality, the way you specify your random effects will be determined by your experimental or sampling design (Schielzeth & Nakagawa 2013 interaction variance between the two, whereas nested factors automatically pool the interaction variance in the second (nested) factor (Schielzeth and Nakagawa…”
- A general and simple method for obtaining R2 from generalized linear mixed‐effects models (2013, background): “Observations are thus clustered in individuals, and individuals are nested within groups (see Schielzeth & Nakagawa 2012 for a discussion of nesting inmixedmodels).”