General linear methods glm - Open Access .click

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The General Linear Model by way of the SAS procedure GLM

, 2012
niet beschikbaarThe SAS procedure GLM (General Linear Model) uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are regression, analysis of variance (especially for unbalanced data ...
Lezenne Coulander C de
core

Higher Complement C4 Gene Copy Number Constitutes a Shared Genetic Risk Factor for Giant Cell Arteritis and IgA Vasculitis

Arthritis &Rheumatology, EarlyView.
Objective Low copy number (CN) of complement C4 isoforms and high CN of retroviral HERV‐K elements are known risk factors for many immune‐mediated inflammatory diseases (IMIDs), often showing sex‐biased effects. Here, we assessed whether CN variation within the C4 gene contributes to giant cell arteritis (GCA) and IgA vasculitis (IgAV), two complex ...
Laura Martínez‐Gutiérrez +295 more
wiley +1 more source

ADI-GLM coefficients

, 2019
Coefficients for methods presented in the paper "Alternating Directions Implicit Integration in a General Linear Method Framework". Preprint available at arXiv:1902.00622 [math.NA]
Sarshar, A
core +2 more sources

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis [PDF]

, 2019
Cortical surface functional magnetic resonance imaging (cs-fMRI) has recently grown in popularity versus traditional volumetric fMRI. In addition to offering better whole-brain visualization, dimension reduction, removal of extraneous tissue types, and ...
Bolin, David +4 more
core +2 more sources

IMACulate(DE3), an E. coli Strain for High Purity His‐Tagged Protein Purifications

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Immobilised Metal Affinity Chromatography (IMAC) is widely used to purify his‐tagged recombinant proteins from Escherichia coli. However, endogenous contaminants with histidine clusters, such as GFAT and PDH E1 proteins, are often co‐purified with the target protein.
Jia Q. Truong +5 more
wiley +1 more source

GLMdenoise: a fast, automated technique for denoising task-based fMRI data

Frontiers in Neuroscience, 2013
In task-based functional magnetic resonance imaging (fMRI), researchers seek to measure fMRI signals related to a given task or condition. In many circumstances, measuring this signal of interest is limited by noise. In this study, we present GLMdenoise,
Kendrick eKay +4 more
doaj +1 more source

Waders in a sea of debris: a global overview

Biological Reviews, EarlyView.
ABSTRACT The impact of plastic pollution on ecosystems and marine fauna is well documented, although research into its effects on waders (also known as shorebirds) remains limited. Given that waders are exposed to coastal marine litter, this exposure could be a significant factor in the decline of their populations. This study aims to assess the global
Yada Trapletti‐Lanti +3 more
wiley +1 more source

High order implicit-explicit general linear methods with optimized stability regions

, 2016
In the numerical solution of partial differential equations using a method-of-lines approach, the availability of high order spatial discretization schemes motivates the development of sophisticated high order time integration methods.
Blaise, Sébastien +4 more
core +1 more source

Venture Funding: Signals of Environmental Orientation and Their Interplay With Investor‐ and Country‐Level Characteristics

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmentally oriented ventures pursue a dual mission: to create both environmental and financial value. This dual mission adds complexity and can influence ventures' funding prospects, as investors mostly pursue financial motivations.
David Flore +2 more
wiley +1 more source

Effectiveness of Sustainability Rating Scales in Dual‐Labeling: The Role of Eco‐Label Familiarity in Consumer Responses

Business Strategy and the Environment, EarlyView.
ABSTRACT Eco‐labels and sustainability rating scales are widely used to communicate product sustainability, yet it remains unclear whether combining these signals enhances or undermines consumer responses. Drawing on signaling theory, this study examines how eco‐label familiarity and the presence of a sustainability rating scale jointly shape consumer ...
Sara Raubvogel +3 more
wiley +1 more source

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