Correction to: Size is not everything: differing activity and foraging patterns between the sexes in a monomorphic mammal

Lodberg-Holm, Hanna Kavli; Steyaert, Sam M. J. G.; Reinhardt, Stefanie; Rosell, Frank

doi:10.1007/s00265-021-03024-1

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2023

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“…Lodberg‐Holm et al (2021) investigated seasonal trends in foraging behavior in a sample of beavers measured over time (Lodberg‐Holm, 2021). The sample includes a total of

n={\sum}_{i=1}^N{n}_i=3,311

observations of

N=34

beavers while foraging, and the outcome of interest is an indicator of whether they foraged on trees/shrubs (vs. aquatic vegetation/herbs/grasses; 1/0).…”

Section: Applicationsmentioning

confidence: 99%

Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data

McGee

Stringer

2023

Scandinavian J Statistics

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We propose a novel marginal additive model (MAM) for modelling cluster‐correlated data with non‐linear population‐averaged associations. The proposed MAM is a unified framework for estimation and uncertainty quantification of a marginal mean model, combined with inference for between‐cluster variability and cluster‐specific prediction. We propose a fitting algorithm that enables efficient computation of standard errors and corrects for estimation of penalty terms. We demonstrate the proposed methods in simulations and in application to (i) a longitudinal study of beaver foraging behaviour, and (ii) a spatial analysis of Loaloa infection in West Africa.This article is protected by copyright. All rights reserved.

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“…Lodberg‐Holm et al (2021) investigated seasonal trends in foraging behavior in a sample of beavers measured over time (Lodberg‐Holm, 2021). The sample includes a total of

n={\sum}_{i=1}^N{n}_i=3,311

observations of

N=34

beavers while foraging, and the outcome of interest is an indicator of whether they foraged on trees/shrubs (vs. aquatic vegetation/herbs/grasses; 1/0).…”

Section: Applicationsmentioning

confidence: 99%

Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data

McGee

Stringer

2023

Scandinavian J Statistics

View full text Add to dashboard Cite

show abstract

Correction to: Size is not everything: differing activity and foraging patterns between the sexes in a monomorphic mammal

Cited by 1 publication

References 0 publications

Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data

Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data

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