Assessing the effects of environmental variables on nestling growth using non-linear mixed effect models

2017 ◽  
pp. 113-126 ◽  
Author(s):  
Erik Hedlin ◽  
◽  
Alastair Franke ◽  
◽  
◽  
...  
Keyword(s):  
Environmental Variables ◽  
Mixed Effect ◽  
Nestling Growth ◽  
Linear Mixed Effect ◽  
Mixed Effect Models ◽  
Non Linear ◽  
Linear Mixed Effect Models

scholarly journals Conditional Non-parametric Bootstrap for Non-linear Mixed Effect Models

2021 ◽  
Author(s):  
Emmanuelle Comets ◽  
Christelle Rodrigues ◽  
Vincent Jullien ◽  
Moreno Ursino
Keyword(s):  
Parametric Bootstrap ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Mixed Effect Models ◽  
Non Linear ◽  
Linear Mixed Effect Models ◽  
Non Parametric

scholarly journals Relationship between β-amyloid and structural network topology in decedents without dementia

Neurology ◽  
2020 ◽  
Vol 95 (5) ◽  
pp. e532-e544
Author(s):  
Laura E. Jonkman ◽  
Martijn D. Steenwijk ◽  
Nicky Boesen ◽  
Annemieke J.M. Rozemuller ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Network Topology ◽  
Pathologic Change ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Local Efficiency ◽  
Mixed Effect Models ◽  
Global Efficiency ◽  
Structural Network ◽  
Β Amyloid ◽  
Linear Mixed Effect Models

ObjectiveTo investigate the association between β-amyloid (Aβ) load and postmortem structural network topology in decedents without dementia.MethodsFourteen decedents (mean age at death 72.6 ± 7.2 years) without known clinical diagnosis of neurodegenerative disease and meeting pathology criteria only for no or low Alzheimer disease (AD) pathologic change were selected from the Normal Aging Brain Collection Amsterdam database. In situ brain MRI included 3D T1-weighted images for anatomical registration and diffusion tensor imaging for probabilistic tractography with subsequent structural network construction. Network topologic measures of centrality (degree), integration (global efficiency), and segregation (clustering and local efficiency) were calculated. Tissue sections from 12 cortical regions were sampled and immunostained for Aβ and hyperphosphorylated tau (p-tau), and histopathologic burden was determined. Linear mixed effect models were used to assess the relationship between Aβ and p-tau load and network topologic measures.ResultsAβ was present in 79% of cases and predominantly consisted of diffuse plaques; p-tau was sparsely present. Linear mixed effect models showed independent negative associations between Aβ load and global efficiency (β = −0.83 × 10−3, p = 0.014), degree (β = −0.47, p = 0.034), and clustering (β = −0.55 × 10−2, p = 0.043). A positive association was present between Aβ load and local efficiency (β = 3.16 × 10−3, p = 0.035). Regionally, these results were significant in the posterior cingulate cortex (PCC) for degree (β = −2.22, p < 0.001) and local efficiency (β = 1.01 × 10−2, p = 0.014) and precuneus for clustering (β = −0.91 × 10−2, p = 0.017). There was no relationship between p-tau and network topology.ConclusionThis study in deceased adults with AD-related pathologic change provides evidence for a relationship among early Aβ accumulation, predominantly of the diffuse type, and structural network topology, specifically of the PCC and precuneus.

scholarly journals Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines

2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Laura M. Grajeda ◽  
Andrada Ivanescu ◽  
Mayuko Saito ◽  
Ciprian Crainiceanu ◽  
Devan Jaganath ◽  
...  
Keyword(s):  
Regression Splines ◽  
Mixed Effect ◽  
Childhood Growth ◽  
Linear Mixed Effect ◽  
Mixed Effect Models ◽  
Subject Specific ◽  
Linear Mixed Effect Models

Snails on oceanic islands: testing the general dynamic model of oceanic island biogeography using linear mixed effect models

2012 ◽  
Vol 40 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Robert A. D. Cameron ◽  
Kostas A. Triantis ◽  
Christine E. Parent ◽  
François Guilhaumon ◽  
María R. Alonso ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Island Biogeography ◽  
Oceanic Islands ◽  
Oceanic Island ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Mixed Effect Models ◽  
Linear Mixed Effect Models ◽  
General Dynamic

scholarly journals Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models

2015 ◽  
Vol 8 ◽  
pp. 606-610 ◽  
Author(s):  
Alicia S. Chua ◽  
Svetlana Egorova ◽  
Mark C. Anderson ◽  
Mariann Polgar-Turcsanyi ◽  
Tanuja Chitnis ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Brain Lesion ◽  
Lesion Volume ◽  
Mixed Effect ◽  
Whole Brain ◽  
Linear Mixed Effect ◽  
Mixed Effect Models ◽  
Linear Mixed Effect Models
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