activity
20142026
most citedBayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data

10 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

stat.AP2026

Testing Additivity of Lead and Benzo[a]pyrene-induced Neurotoxicity in Caenorhabditis elegans Assays

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…

stat.AP2026

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…

stat.ME2026

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…

stat.AP2024

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…

stat.AP2023

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…

stat.ME2023

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…

stat.AP2019★ 10 cited

Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data

Kelly R. Moran, Elizabeth L. Turner, David Dunson +1

In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the c…

stat.ME2014★ 6 cited

Nonparametric Bayes modeling with sample survey weights

T. Kunihama, A. H. Herring, C. T. Halpern +1

In population studies, it is standard to sample data via designs in which the population is divided into strata, with the different strata assigned different probabilities of inclu…