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Physical Review Physics Education Research, 2019 [This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] Physics education researchers (PER) often analyze student data with single-level regression models (e.g., linear and logistic regression).
Ben Van Dusen, Jayson Nissen
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Ecology and Evolution, 2022 Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed‐effects models a common analysis tool in ecology and evolution because they can account for the non ...
Johannes Oberpriller +2 more
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Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects. [PDF]
PLoS Genetics, 2011 Complex diseases and traits are likely influenced by many common and rare genetic variants and environmental factors. Detecting disease susceptibility variants is a challenging task, especially when their frequencies are low and/or their effects are ...
Nengjun Yi +3 more
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A conjugate prior for discrete hierarchical log-linear models
, 2009 In Bayesian analysis of multi-way contingency tables, the selection of a prior distribution for either the log-linear parameters or the cell probabilities parameters is a major challenge. In this paper, we define a flexible family of conjugate priors for
Dobra, Adrian +2 more
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Methods of Hierarchical Clustering [PDF]
, 2011 We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models.
Contreras, Pedro, Murtagh, Fionn
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Hierarchical Models as Marginals of Hierarchical Models
, 2016 We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are conditionally ...
Montufar, Guido, Rauh, Johannes
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Bayesian hierarchical models for linear networks [PDF]
Journal of Applied Statistics, 2020 The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents and study its pattern across the UK motorway network. Two methods have been developed to achieve this aim. First, the motorway-specific intensity is estimated by using a homogeneous Poisson process.
Zainab, Al-Kaabawi +2 more
openaire +2 more sources
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
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Prior distributions for objective Bayesian analysis [PDF]
, 2018 We provide a review of prior distributions for objective Bayesian analysis. We start by examining some foundational issues and then organize our exposition into priors for: i) estimation or prediction; ii) model selection; iii) highdimensional models ...
Consonni, Guido +3 more
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Molecular Oncology, EarlyView.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source