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Mixture modeling of hospital charge in Zimbabwe [PDF]
Objective: Zimbabwe is one of the poorest countries in the world, just emerging from a broken health care system. The objective is to figure out variables affecting hospital charge for Zimbabwe.
Nyasha Mangava, Saralees Nadarajah
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GMMchi: gene expression clustering using Gaussian mixture modeling [PDF]
Background Cancer evolution consists of a stepwise acquisition of genetic and epigenetic changes, which alter the gene expression profiles of cells in a particular tissue and result in phenotypic alterations acted upon by natural selection. The recurrent
Ta-Chun Liu +3 more
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Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering [PDF]
IntroductionUnderstanding individual cognitive profiles is crucial for developing personalized educational interventions, as cognitive differences can significantly impact how students learn.
Matteo Orsoni +5 more
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Replicative lifespan (RLS) of the budding yeast is the number of mother cell divisions until senescence and is instrumental to understanding mechanisms of cellular aging. Recent research has shown that replicative aging is heterogeneous, which argues for
Emine Güven, Hong Qin
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Incorporating polar field data for improved solar flare prediction
In this paper, we consider incorporating data associated with the sun’s north and south polar field strengths to improve solar flare prediction performance using machine learning models.
Mehmet Aktukmak +7 more
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Species distribution modeling, which allows users to predict the spatial distribution of species with the use of environmental covariates, has become increasingly popular, with many software platforms providing tools to fit such models.
Emy Guilbault +3 more
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Latent trajectory studies: the basics, how to interpret the results, and what to report [PDF]
Background: In statistics, tools have been developed to estimate individual change over time. Also, the existence of latent trajectories, where individuals are captured by trajectories that are unobserved (latent), can be evaluated (Muthén & Muthén, 2000)
Rens van de Schoot
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Differential item functioning across gender with MIMIC modeling: PISA 2018 financial literacy items
The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. Data were 953 students from the USA who participated in the PISA 2018 8th-grade financial literacy assessment.
Fatıma Münevver Saatçioğlu
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The main aim of the present study was to investigate the presence of Differential Item Functioning (DIF) using a latent class (LC) analysis approach. Particularly, we examined potential sources of DIF in relation to gender.
Ioannis Tsaousis +3 more
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Applications of Latent Growth Mixture Modeling and allied methods to posttraumatic stress response data [PDF]
Background: Scientific research into mental health outcomes following trauma is undergoing a revolution as scientists refocus their efforts to identify underlying dimensions of health and psychopathology.
Isaac R. Galatzer-Levy
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