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Biostatistics series module 10: Brief overview of multivariate methods
Multivariate analysis refers to statistical techniques that simultaneously look at three or more variables in relation to the subjects under investigation with the aim of identifying or clarifying the relationships between them.
Avijit Hazra, Nithya Gogtay
doaj +1 more source
Droplet characteristics are identified as essential factors in agricultural spray application. The aims of this study were to analyse the influence of spray parameters on droplet characteristics and to determine possible candidate sprays that would ...
Juan Liao +6 more
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ANALISIS KOVARIAN PADA RANCANGAN BUJURSANGKAR GRAECO LATIN [PDF]
Analysis of covariance (ancova) is a technique that combines features of analysis of variance and regression which is used to increase precision (accuracy) of the experiment.
SAADAH, FARDA NUR
core
CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang +6 more
wiley +1 more source
Background: Because of the occurrence of depression, anxiety, and hopelessness in patients with breast cancer (BC), the present study investigated the effectiveness of group logotherapy (LT) on life expectancy and death anxiety in women with BC ...
Juma Jabur A. Alreda +4 more
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A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis
The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra +8 more
wiley +1 more source
Fast matrix computations for functional additive models [PDF]
It is common in functional data analysis to look at a set of related functions: a set of learning curves, a set of brain signals, a set of spatial maps, etc.
Barthelme, Simon
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Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
MATS: Inference for potentially Singular and Heteroscedastic MANOVA [PDF]
In many experiments in the life sciences, several endpoints are recorded per subject. The analysis of such multivariate data is usually based on MANOVA models assuming multivariate normality and covariance homogeneity.
Friedrich, Sarah, Pauly, Markus
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Exclusive breastfeeding establishes a thermogenic memory in brown adipose tissue by activating the HIF1AN/AMPK/α‐ketoglutarate axis via milk‐derived extracellular vesicles enriched in miR‐125a‐5p. This programming preserves metabolic health, while αKG supplementation restores BAT function under mixed feeding, offering strategies to mitigate the ...
Ningxi Wu +13 more
wiley +1 more source

