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Published in 2023 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22519
Abstract: The application of causal mediation analysis (CMA) considering the mediation effect of a third variable is increasing in epidemiological studies; however, this requires fitting strong assumptions on confounding bias. To address this limitation, we propose…
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Keywords:
equation models;
mediation analysis;
structural equation;
mediation ... See more keywords
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Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2018.08.005
Abstract: Abstract We reveal the method for systematic construction of unexpected bound soliton states (localized breathers on the zero background) and formulate specific conditions for their appearance both in the framework of the canonical and the…
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Keywords:
exist hirota;
hirota equation;
soliton breathers;
equation models ... See more keywords
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Published in 2019 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2018.11.007
Abstract: This paper deals with the estimation problem of misspecified ergodic L\'evy driven stochastic differential equation models based on high-frequency samples. We utilize the widely applicable and tractable Gaussian quasi-likelihood approach which focuses on (conditional) mean…
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Keywords:
stochastic differential;
equation models;
differential equation;
equation ... See more keywords
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Published in 2021 at "Psychological methods"
DOI: 10.1037/met0000297
Abstract: Structural equation models (SEMs) are widely used to handle multiequation systems that involve latent variables, multiple indicators, and measurement error. Maximum likelihood (ML) and diagonally weighted least squares (DWLS) dominate the estimation of SEMs with…
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Keywords:
least squares;
structural equation;
model;
equation models ... See more keywords
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Published in 2023 at "Psychological methods"
DOI: 10.1037/met0000550.supp
Abstract: Regularized continuous time structural equation models are proposed to address two recent challenges in longitudinal research: Unequally spaced measurement occasions and high model complexity. Unequally spaced measurement occasions are part of most longitudinal studies, sometimes…
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Keywords:
time;
continuous time;
equation models;
structural equation ... See more keywords
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Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab227
Abstract: Abstract Summary Ordinary differential equation models facilitate the understanding of cellular signal transduction and other biological processes. However, for large and comprehensive models, the computational cost of simulating or calibrating can be limiting. AMICI is…
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Keywords:
ordinary differential;
differential equation;
equation models;
sensitivity analysis ... See more keywords
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Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.103.042310
Abstract: We propose a statistical learning framework based on group-sparse regression that can be used to (i) enforce conservation laws, (ii) ensure model equivalence, and (iii) guarantee symmetries when learning or inferring differential-equation models from data.…
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Keywords:
equation models;
physically consistent;
differential equation;
models data ... See more keywords
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Published in 2018 at "Cadernos de saude publica"
DOI: 10.1590/0102-311x00079017
Abstract: This study aimed to identify associations between sociodemographic, workplace, and school environmental factors and the occurrence of physical violence against teachers at school. This was a cross-sectional study of teachers that had been working for…
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Keywords:
violence;
physical violence;
structural equation;
school ... See more keywords
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Published in 2023 at "Algorithms"
DOI: 10.3390/a16040210
Abstract: Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is…
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Keywords:
equation models;
structural equation;
model robust;
group ... See more keywords