Bayesian latent variable models for hierarchical clustered count outcomes with repeated measures in microbiome studies
Sign Up to like & getrecommendations! Published in 2017 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22031
Abstract: Motivated by the multivariate nature of microbiome data with hierarchical taxonomic clusters, counts that are often skewed and zero inflated, and repeated measures, we propose a Bayesian latent variable methodology to jointly model multiple operational… read more here.
Keywords: models hierarchical; variable models; bayesian latent; repeated measures ... See more keywords
Dynamic latent variable models for the analysis of cognitive abilities in the elderly population.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9038
Abstract: Cognitive functioning is a key indicator of overall individual health. Identifying factors related to cognitive status, especially in later life, is of major importance. We concentrate on the analysis of the temporal evolution of cognitive… read more here.
Keywords: abilities elderly; cognitive functioning; cognitive abilities; elderly population ... See more keywords
Multiple assessments of non‐inferiority trials with ordinal endpoints
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9660
Abstract: Non‐inferiority (NI) trials are implemented when there is a practical demand to search for alternatives to standard therapies, such as to reduce side effects. An experimental treatment is considered non‐inferior to the standard treatment when… read more here.
Keywords: inferiority; latent variable; non inferiority; inferiority trials ... See more keywords
Between-person variation in naturally occurring affect does not relate to working memory performance: a latent variable modelling study
Sign Up to like & getrecommendations! Published in 2021 at "Psychological Research"
DOI: 10.1007/s00426-020-01387-0
Abstract: Some studies have shown that induced positive and negative affective states have differential effects on verbal and spatial working memory (WM) performance, such that positive affect improves verbal WM and impairs spatial WM, while negative… read more here.
Keywords: occurring affect; naturally occurring; performance; negative affect ... See more keywords
Similarity based robust probability latent variable regression model and its kernel extension for process monitoring
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2016.12.011
Abstract: Abstract In most industries, process and quality measurements with outliers are often collected. The outliers would have negative influences on data-based modelling and process monitoring. In our previous work on probability latent variable regression (PLVR),… read more here.
Keywords: process; variable regression; probability; latent variable ... See more keywords
Definitive Screening Designs and latent variable modelling for the optimization of solid phase microextraction (SPME): Case study - Quantification of volatile fatty acids in wines
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.06.010
Abstract: Abstract In the present study, we apply the recently proposed Definitive Screening Designs (DSD) to optimize HS-SPME extraction in order to analyze volatile fatty acids (VFA) present in wine samples. This is the first attempt… read more here.
Keywords: extraction; methodology; screening designs; optimization ... See more keywords
New tools for the design and manufacturing of new products based on Latent Variable Model Inversion
Sign Up to like & getrecommendations! Published in 2019 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.103848
Abstract: Abstract Latent Variable Regression Model (LVRM) inversion can be an efficient tool to find the so-called Design Space (DS), i.e. the different combinations of inputs (e.g. process conditions, raw materials properties …) that lead to… read more here.
Keywords: inversion; tools design; latent; model ... See more keywords
New approaches to cognitive work analysis through latent variable modeling in mining operations
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Mining Science and Technology"
DOI: 10.1016/j.ijmst.2019.06.014
Abstract: Abstract This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry. Latent variable modeling, which is a statistical model that relates observable and latent variables, could… read more here.
Keywords: latent variable; latent; mining; variable modeling ... See more keywords
Deviance information criterion for latent variable models and misspecified models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2019.11.002
Abstract: Deviance information criterion (DIC) has been widely used for Bayesian model comparison, especially after Markov chain Monte Carlo (MCMC) is used to estimate candidate models. This paper first studies the problem of using DIC to… read more here.
Keywords: misspecified models; variable models; deviance information; information criterion ... See more keywords
Monitoring and prediction of big process data with deep latent variable models and parallel computing
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2020.05.010
Abstract: Abstract Process monitoring and quality prediction are crucial for maintaining favorable operating conditions and have received considerable attention in previous decades. For majority complicated cases in chemical and biological industrial processes with particular nonlinear characteristics,… read more here.
Keywords: variable models; process; parallel computing; prediction ... See more keywords
Positive and negative symptoms in schizophrenia: A longitudinal analysis using latent variable structural equation modelling
Sign Up to like & getrecommendations! Published in 2019 at "Schizophrenia Research"
DOI: 10.1016/j.schres.2018.08.018
Abstract: BACKGROUND Recent network models of schizophrenia propose it is the consequence of mutual interaction between its symptoms. While cross-sectional associations between negative and positive symptoms are consistent with this idea, they may merely reflect their… read more here.
Keywords: equation modelling; positive negative; negative symptoms; structural equation ... See more keywords