Linear Mixed Effect Models (LMEM) have become a popular method for analyzing nested experimental data, which are often encountered in psycholinguistics and other fields.
Jungkyu Park +2 more
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Constructing a Multilevel Modeling to High-Resolution CT (HRCT) Lung in Patients with COVID-19 Infection [PDF]
The coronavirus disease, also called COVID-19 is caused by the SARS-CoV-2 virus. Most the people contaminated with the virus will experience mild to moderate symptoms of respiratory diseases.
Didar Rashid, Mohammad Faqe
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Nonlinear mixed models for characterization of growth trajectory of New Zealand rabbits raised in tropical climate [PDF]
Objective The identification of nonlinear mixed models that describe the growth trajectory of New Zealand rabbits was performed based on weight records and carcass measures obtained using ultrasonography.
Vanusa Castro de Sousa +7 more
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Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression models. [PDF]
Wang W, Griswold ME.
europepmc +2 more sources
Quantifying Adventitious Error in a Covariance Structure as a Random Effect. [PDF]
Wu H, Browne MW.
europepmc +2 more sources
A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis. [PDF]
Shi J, Lee S.
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Hamiltonian Monte Carlo with Random Effect for Analyzing Cyclist Crash Severity
Vulnerable traffic users, such as bikers and pedestrians, account for a significant number of fatalities on the roadways. Extensive research has been conducted in the literature review to identify factors to those crashes.
Mahdi Rezapour, Khaled Ksaibati
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Human Capital and Income Inequality Linkage in Sub- Saharan Africa: Panel Data Analysis (1984–2016)
Income inequality means that one segment of the population has a disproportionately large share of income compared to the other. Disparities in income and wealth have tended to dominate the discussion on inequality because they contribute directly to ...
Gashaw Getaye Molla
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Mixed effects regression models in forestry research [PDF]
A promising method for finding patterns in experimental data is regression models of mixed effects, which have not found wide application in forest science in Russia to date.
A. V. Lebedev, V. V. Kuzmichev
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Theoretical Concepts in Magnetobiology after 40 Years of Research
This review contains information on the development of magnetic biology, one of the multidisciplinary areas of biophysics. The main historical facts are presented and the general observed properties of magnetobiological phenomena are listed.
Vladimir N. Binhi, Andrei B. Rubin
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