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A brief introduction to mixed effects modelling and multi-model inference in ecology

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(5/6) A brief introduction to mixed effects modelling and multi-model inference in ecology. https://t.co/cpl4micJ2B @thePeerJ @XavHarrison #ZSLpapers
A Brief Introduction to Mixed Effects Modelling and Multi-model Inference in Ecology https://t.co/v37IAlSXDb
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@EcologyOfGavin Check out Harrison et al. 2017. 'Best practice in mixed effects modeling and multi-model inference in ecology' for a great review and citing lit! https://t.co/TW587lhCjR
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A brief introduction to mixed effects modelling and multi-model inference in ecology https://t.co/DmHjQwMYOu
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
162 days ago
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
RT @XavHarrison: My article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most viewe…
RT @DFofFreedom: Our article 'Best practice in mixed effects modelling and multi-model inference in ecology' was one of the top 5 most view…
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Supplemental Information

Simulation Methodology for Type I error rates and Figure 4

This file contains the methods used to conduct the Type I error rate simulations in the manuscript. For downstream processing of these data, R markdown documents are available on Figshare.

DOI: 10.7287/peerj.preprints.3113v2/supp-1

Additional Information

Competing Interests

Xavier A. Harrison is an Academic Editor for PeerJ. Beth S. Robinson is an employees of WildTeam Conservation, Surfside, Cornwall. The authors declare no further competing interests.

Author Contributions

Xavier A Harrison conceived and designed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Lynda Donaldson conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Maria Eugenia Correa-Cano conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Julian Evans conceived and designed the experiments, analyzed the data, wrote the paper, reviewed drafts of the paper.

David N Fisher conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Cecily Goodwin conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Beth Robinson conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

David J Hodgson conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Richard Inger conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

Figshare

doi: 10.6084/m9.figshare.5173396

https://figshare.com/s/b8ae2e4cb4ed31779b99

Funding

XAH was funded by an Institute of Zoology Research Fellowship. DF was funded by NERC studentship NE/H02249X/1. LD was funded by NERC studentship NE/L501669/1. BR was funded by the University of Exeter and the Animal and Plant Health Agency as part of 'Wildlife Research Co-Operative’. MC was funded by CONACYT (The Mexican National Council for Science and Technology) and SEP (The Mexican Ministry of Education). CG was funded by the Forestry Commission and NERC studentship NE/L501669/1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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