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A novel diagnostic model for tuberculous meningitis using Bayesian latent class analysis
BackgroundDiagnosis of tuberculous meningitis (TBM) is hampered by the lack of a gold standard. Current microbiological tests lack sensitivity and...
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A Bayesian latent class extension of naive Bayesian classifier and its application to the classification of gastric cancer patients
BackgroundThe Naive Bayes (NB) classifier is a powerful supervised algorithm widely used in Machine Learning (ML). However, its effectiveness relies...
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Bayesian Latent Gaussian Models
Bayesian latent Gaussian models are Bayesian hierarchical models that assign Gaussian prior densities to the latent parameters. In this chapter, we... -
Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models
BackgroundAsymptomatic carriage of malaria parasites is common in high transmission intensity areas and confounds clinical case definitions for...
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Evaluating the Performance of Different Criteria in Diagnosing AD and Preclinical AD with the Bayesian Latent Class Model
BackgroundThe diagnostic criteria for Alzheimer’s disease (AD) should be highly sensitive and specific. Clinicians have varying opinions on the...
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The effect of smoking on latent hazard classes of metabolic syndrome using latent class causal analysis method in the Iranian population
BackgroundThe prevalence of metabolic syndrome is increasing worldwide. Clinical guidelines consider metabolic syndrome as an all or none medical...
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A Latent Class Analysis of Adverse Life Events for Kenyan Adolescents
Extant evidence indicates that exposure to adverse childhood experiences (ACE) tend to cluster among children and adolescents. Considering that...
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Bayesian latent class analysis produced diagnostic accuracy estimates that were more interpretable than composite reference standards for extrapulmonary tuberculosis tests
BackgroundEvaluating the accuracy of extrapulmonary tuberculosis (TB) tests is challenging due to lack of a gold standard. Latent class analysis...
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Preferences for Monitoring Comprehensive Heart Failure Care: A Latent Class Analysis
ObjectiveTo measure preference heterogeneity for monitoring systems among patients with a chronic heart failure.
MethodsA best–worst scaling...
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Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis
PurposeResearch on symptom clusters in oncology is progressing, but knowledge gaps remain. One question is whether the number and types of symptom...
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Latent class analysis of psychotic-affective disorders with data-driven plasma proteomics
Data-driven approaches to subtype transdiagnostic samples are important for understanding heterogeneity within disorders and overlap between...
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Characterization of Latent Classes of Early Preadolescents from Their Reports of Victimization and Bullying – A Latent Class Analysis
Bullying is defined as persistent hostile actions intended to harm the recipient in a power imbalance relationship. While children and adolescents...
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Trajectories of Self-Rated Health Among Industrially Disabled Individuals: A Latent Class Growth Analysis
BackgroundUnderstanding the self-rated health of industrially disabled individuals is an important variable that significantly affects their quality...
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Early-onset restrictive food intake disorders in children: a latent class analysis
The two most frequent early-onset restrictive food intake disorders are early-onset anorexia nervosa (EOAN) and avoidant/restrictive food intake...
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Factors associated with intrinsic capacity impairment in hospitalized older adults: a latent class analysis
BackgroundIntrinsic capacity (IC) is proposed by the World Health Organization (WHO) to promote healthy aging. Although some studies have examined...
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Differential risks of syringe service program participants in Central Ohio: a latent class analysis
BackgroundSignificant heterogeneity exists among people who use drugs (PWUD). We identify distinct profiles of syringe service program (SSP) clients...
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Differentiating people who use cannabis heavily through latent class analysis
BackgroundPeople who use cannabis daily or near-daily vary considerably in their daily dosage and use frequency, impacting both experienced effects...
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High-dose benzodiazepine use and QTc interval prolongation, a latent class analysis study
Benzodiazepine (BDZ) addiction is a widespread and multifaceted phenomenon. For many patients, especially females, the concomitant use of other drugs...
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Older adult drug overdose: an application of latent class analysis to identify prevention opportunities
BackgroundOlder adult overdose death rates have increased significantly in recent years. However, research for prevention of drug overdose death...