Results 71 to 80 of about 6,110,460 (312)
Gaussian Process Structural Equation Models with Latent Variables [PDF]
, 2010 In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by some causal structure.
Gramacy, Robert B., Silva, Ricardo
core +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source
Bayesian modeling of ChIP-chip data using latent variables
BMC Bioinformatics, 2009 Background The ChIP-chip technology has been used in a wide range of biomedical studies, such as identification of human transcription factor binding sites, investigation of DNA methylation, and investigation of histone modifications in animals and ...
Tian Yanan, Liang Faming, Wu Mingqi
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Neuromyelitis Optica Spectrum Disorder (NMOSD) is a chronic autoimmune neuroinflammatory disease, typically characterized by antibodies against aquaporin 4 (AQP4‐IgG) or myelin oligodendrocyte glycoprotein (MOG‐IgG). Simultaneous seropositivity for both antibodies in a single patient is exceedingly rare.
Yeting Luo, Shuhua Xie, Xianghong Liu
wiley +1 more source
Scoring ordinal variables for constructing composite indicators
Statistica, 2013 In order to provide composite indicators of latent variables, for example of customer satisfaction, it is opportune to identify the structure of the latent variable, in terms of the assignment of items to the subscales defining the latent variable ...
Marica Manisera
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Sensors, 2019 Recently, data from built-in sensors in smartphones have been readily available, and analyzing data for various types of health information from smartphone users has become a popular health care application area. Among relevant issues in the area, one of
Jaein Kim +5 more
doaj +1 more source
A Latent Process Model for Dementia and Psychometric Tests
, 2007 We jointly model longitudinal values of a psychometric test and diagnosis of dementia. The model is based on a continuous-time latent process representing cognitive ability.
Commenges, Daniel +2 more
core +4 more sources
ClustVarLV: An R Package for the Clustering of Variables Around Latent Variables
The R Journal, 2015 The clustering of variables is a strategy for deciphering the underlying structure of a data set. Adopting an exploratory data analysis point of view, the Clustering of Variables around Latent Variables (CLV) approach has been proposed by Vigneau and ...
E. Vigneau, Mingkun Chen, M. Qannari
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source