Results 41 to 50 of about 11,069 (260)
BMC Medical Research Methodology, 2023 Background Latent class models are increasingly used to estimate the sensitivity and specificity of diagnostic tests in the absence of a gold standard, and are commonly fitted using Bayesian methods.
Suzanne H. Keddie +3 more
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FEBS Open Bio, EarlyView.Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin +3 more
wiley +1 more source
DeepCLSMOTE: deep class-latent synthetic minority oversampling technique [PDF]
PeerJ Computer ScienceDeep learning models often exhibit bias when trained on imbalanced datasets, tending to favor majority classes. While Deep Synthetic Minority Over-sampling Technique (DeepSMOTE) mitigates this challenge by generating synthetic minority class images ...
Suvaporn Homjandee, Krung Sinapiromsaran
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FEBS Open Bio, EarlyView.The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
Journal of Statistical Software, 2018 The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
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Modeling Predictors of Latent Classes in Regression Mixture Models [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2016 The purpose of the current study is to provide guidance on a process for including latent class predictors in regression mixture models. We first examine the performance of current practice for using the 1-step and 3-step approaches where the direct covariate effect on the outcome is omitted.
Kim, M. +4 more
openaire +4 more sources
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
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
poLCA: An R Package for Polytomous Variable Latent Class Analysis
Journal of Statistical Software, 2011 poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
doaj
The use of bayesian latent class cluster models to classify patterns of cognitive performance in healthy ageing. [PDF]
PLoS ONE, 2013 The main focus of this study is to illustrate the applicability of latent class analysis in the assessment of cognitive performance profiles during ageing.
Patrício Soares Costa +4 more
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