Cecily E. D. Goodwin

Nature and Landscape Conservation · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 34 citations into it; #6,815 of 6,941 by trust here, #5,573 by citations
• Statistics and Probability — 26 citations into it
• Ecological Modeling — 24 citations into it; #2,448 of 2,530 by trust here, #2,047 by citations
• Ecology, Evolution, Behavior and Systematics — 16 citations into it
• Artificial Intelligence — 15 citations into it
• Ecology — 11 citations into it; #10,497 of 10,717 by trust here, #8,686 by citations

Whom Cecily E. D. Goodwin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shinichi Nakagawa
2. X. Harrison

Who trusts Cecily E. D. Goodwin overall

1. Harlan Campbell

Papers from Cecily E. D. Goodwin's perspective

Ordered by how strongly the researchers Cecily E. D. Goodwin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
2. Experimental Design and Data Analysis for Biologists
3. Conditional Akaike information for mixed-effects models
4. A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion (Behavioral Ecology and Sociobiology)
5. Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
6. Missing inaction: the dangers of ignoring missing data. (Trends in Ecology & Evolution)
7. Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (Behavioral Ecology and Sociobiology)
8. R: A language and environment for statistical computing.
9. Model selection in ecology and evolution. (Trends in Ecology & Evolution)
10. Simple means to improve the interpretability of regression coefficients

Their papers

• A brief introduction to mixed effects modelling and multi-model inference in ecology (2018) — 1,831 citations