6 papers
Testing Additivity in Lead and Benzo[a]pyrene-induced Neurodegeneration in Caenorhabditis elegans
Niccolo Anceschi, Javier Huayta, Joel N. Meyer +2
Exposure to environmental contaminants is a recognized cause of neurotoxicity, contributing to the onset of a broad range of neurological conditions. In realistic settings, such ex…
Order-Restricted Bayesian Ordinal Regression for the Modeling of Neuron Degeneration in Caenorhabditis elegans
Rick Presman, Niccolo Anceschi, Javier Huayta +2
Neuron degeneration is the underlying mechanism for the development of many diseases. Quantifying the association between increasing levels of toxic exposure and progressive neuron…
Pathway-based Bayesian factor models for 'omics data
Lorenzo Mauri, Federica Stolf, Amy H. Herring +2
Interpreting RNA-sequencing data requires identifying coordinated gene expression patterns that correspond to biological pathways. Standard factor models provide useful dimension r…
Identifiable and interpretable nonparametric factor analysis
Maoran Xu, Steven Winter, Amy H. Herring +1
Factor models are widely used to reduce dimensionality in modeling high-dimensional data. However, there remains a need for models that can be reliably fit in modest sample sizes a…
Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania
Alexander Dombowsky, David B. Dunson, Deng B. Madut +2
Sepsis is a life-threatening condition caused by a dysregulated host response to infection. Recently, researchers have hypothesized that sepsis consists of a heterogeneous spectrum…
Low-rank longitudinal factor regression with application to chemical mixtures
Glenn Palmer, Amy H. Herring, David B. Dunson
Developmental epidemiology commonly focuses on assessing the association between multiple early life exposures and childhood health. Statistical analyses of data from such studies…