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An introduction to the full random effects model [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2022 The full random‐effects model (FREM) is a method for determining covariate effects in mixed‐effects models. Covariates are modeled as random variables, described by mean and variance.
Gunnar Yngman +4 more
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SnIPRE: selection inference using a Poisson random effects model. [PDF]
PLoS Computational Biology, 2012 We present an approach for identifying genes under natural selection using polymorphism and divergence data from synonymous and non-synonymous sites within genes.
Kirsten E Eilertson +2 more
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Examining the Relationship Between Human Development Index and Socio-Economic Variables: A Panel Data Analysis [PDF]
Journal of International Business, Economics and Entrepreneurship, 2018 Human Development Index (HDI) measures the average achievements from three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living.
Siti Ayu Jalil +1 more
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Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India
Data, 2023 The impacts of the coronavirus disease 2019 (COVID-19) pandemic have been extremely severe, with both economic and health crises experienced worldwide. Based on the panel regression model, this study examined the trends and correlations in the number of ...
Rajarathinam Arunachalam
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Relation between tax wedge and employment rate: The case of OECD countries [PDF]
Industrija, 2022 The paper investigates the relationship between tax wedge and employment rate in thirty-six OECD countries for the period 2000-2020. The aim of this paper is to identify how tax wedge indicators affect the employment level in these economies.
Kalaš Branimir +2 more
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Agricultural Economics (AGRICECON), 2021 Recently, the growing interest in healthy and organic nutrition has led to an increase in both the consumption and production of olive oil. The fact that olive and olive oil production is mostly concentrated in the countries with a coastline on the ...
Ferhat Pehlivanoğlu +2 more
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Frontiers in Pharmacology, 2023 Purpose: Surgeon and hospital-related features, such as volume, can be associated with treatment choices and outcomes. Accounting for these covariates with propensity score (PS) analysis can be challenging due to the clustered nature of the data.
Mike Du +5 more
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Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging
Methodology, 2022 Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR).
José Ángel Martínez-Huertas +1 more
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A Bayesian Random Effects Model for Testlets [PDF]
Psychometrika, 1998 Standard item response theory (IRT) models fit to dichotomous examination responses ignore the fact that sets of items (testlets) often come from a single common stimuli (e.g. a reading comprehension passage). In this setting, all items given to an examinee are unlikely to be conditionally independent (given examinee proficiency).
Bradlow, Eric T. +2 more
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META-ANALYSIS FOR EVALUATING THE EFFICIENCY OF GENOMIC SELECTION IN CEREALS [PDF]
BAG. Journal of Basic and Applied Genetics, 2020 Genomic selection (GS) is used to predict the merit of a genotype with respect to a quantitative trait from molecular or genomic data. Statistically, GS requires fitting a regression model with multiple predictors associated with the molecular markers ...
Rueda Calderón M. A. +2 more
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