General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi‐trait models for continuous and categorical characters

By J. Hadfield, Shinichi Nakagawa. Journal of Evolutionary Biology, 2010

798 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e781d9f8849e0405a6c14afc4a168afaf8fd90a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Paleontology

Citations in the corpus

A phylogenetically controlled meta‐analysis of biologging device effects on birds: Deleterious effects and a call for more standardized reporting of study data (2017, methodology): “As an index of the magnitude of the phylogenetic signal in the data, we calculated the phylogenetic heritability H2 (Hadfield & Nakagawa, 2010).”
Meta‐analysis of variation: ecological and evolutionary applications and beyond (2015, methodology): “We note that overall means produced by phylogenetic models could represent an ancestral value (Hadfield & Nakagawa 2010), so it is perhaps not surprising that such estimates have higher uncertainty.”
A meta‐analysis of nestedness and turnover components of beta diversity across organisms and ecosystems (2018, methodology): “…also ran models using the number of sampling sites (ranging between four and 296) as weights in order to put more emphasis on the data points [all data points for average pairwise metrics (n5269) and n5249 data points for multiple sites metrics] with larger sample sizes (Hadfield & Nakagawa, 2010).”
Model averaging, missing data and multiple imputation: a case study for behavioural ecology (2010, background): “Although the importance of handling missing data is only beginning to be realized in ecology and evolutionary biology (Hadfield 2008; Nakagawa and Freckleton 2008; Hadfield and Nakagawa 2010), the implications for model selection and averaging have not yet been considered.”
Uses and misuses of meta‐analysis in plant ecology (2014, methodology): “Statistical methods for controlling phylogenetic non-independence are described in Adams (2008), Lajeunesse (2009), Hadfield & Nakagawa (2010), and Lajeunesse, Rosenberg & Jennions (2013) 12.”
Island, archipelago and taxon effects: mixed models as a means of dealing with the imperfect design of nature's experiments (2012, background): “Methods for dealing with phylogenetic non-independence in a mixed model setting do exist (Hadfi eld and Nakagawa 2010), however, we will not consider this issue further here.”
Reproductive biology of Australian acacias: important mediator of invasiveness? (2011, methodology): “Because species do not represent independent data points in comparative studies (Hadfield & Nakagawa, 2010; Stone et al., 2011), we incorporated phylogenetic relationships among sampled species into our analyses using a generalized leastsquares (gls) framework in the nlme package (Pinheiro et al.,…”
Behavioral syndromes as evolutionary constraints (2013, methodology): “taxonomic levels are included as random effects (Hadfield and Nakagawa 2010).”
Phylogenetic Regression for Binary Dependent Variables (2014, methodology): “When applied to only binary variables, this method should be similar to MCMCglmm (Hadfield and Nakagawa 2010), so we do not include it here.”
Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021, methodology): “The matrix can then be incorporated into the meta-analytic model, which becomes a ‘phylogenetic meta-analysis’ (Adams, 2008; Lajeunesse, 2009; Hadfield & Nakagawa, 2010).”
The effect of experimental design on the measurement of mate choice: a meta-analysis (2015, methodology): “Branch lengths were arbitrarily set to one (Hadfield and Nakagawa 2010), and then made ultrametric using the cladogram option in FigTree v1.”