Amy H Herring CV

Journal article Biometrika · September 2023 Featured Publication Loss-based clustering methods, such as k-means clustering and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated clusters is a disadvantage. Model-based clustering based on mixtu ... Full text Cite

Bayesian matrix completion for hypothesis testing.

Journal article Journal of the Royal Statistical Society. Series C, Applied statistics · May 2023 Featured Publication We aim to infer bioactivity of each chemical by assay endpoint combination, addressing sparsity of toxicology data. We propose a Bayesian hierarchical framework which borrows information across different chemicals and assay endpoints, facilitates out-of-sa ... Full text Cite

Derivation of maternal dietary patterns accounting for regional heterogeneity

Journal article Journal of the Royal Statistical Society Series C Applied Statistics · November 1, 2022 Featured Publication Latent class models are often used to characterise dietary patterns. Yet, when subtle variations exist across different sub-populations, overall population patterns can be masked and affect statistical inference on health outcomes. We address this concern ... Full text Cite

PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES.

Journal article The annals of applied statistics · September 2021 Featured Publication In this article we investigate group differences in phthalate exposure profiles using NHANES data. Phthalates are a family of industrial chemicals used in plastics and as solvents. There is increasing evidence of adverse health effects of exposure to phtha ... Full text Cite

BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES.

Journal article The annals of applied statistics · September 2021 Featured Publication Today there are approximately 85,000 chemicals regulated under the Toxic Substances Control Act, with around 2,000 new chemicals introduced each year. It is impossible to screen all of these chemicals for potential toxic effects, either via full organism < ... Full text Cite

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data.

Journal article J R Stat Soc Ser C Appl Stat · June 2021 Featured Publication 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 cause-specific mortality fraction (CSMF) for populations. Post-mortem autopsi ... Full text Link to item Cite

Rejoinder

Journal article BAYESIAN ANALYSIS · March 2021 Featured Publication Link to item Cite

Centered Partition Processes: Informative Priors for Clustering (with Discussion).

Journal article Bayesian analysis · March 2021 Featured Publication There is a very rich literature proposing Bayesian approaches for clustering starting with a prior probability distribution on partitions. Most approaches assume exchangeability, leading to simple representations in terms of Exchangeable Partition Probabil ... Full text Cite

Empirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos.

Journal article The Journal of nutrition · October 2020 Featured Publication BackgroundLatent class models (LCMs) have been used in exploring dietary behaviors over a wide set of foods and beverages in a given population, but are prone to overgeneralize these habits in the presence of variation by subpopulations.Object ... Full text Cite

A generalized Bayes framework for probabilistic clustering

Journal article · June 9, 2020 Featured Publication Loss-based clustering methods, such as k-means and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated clusters is a disadvantage. Model-based clustering based on mixture models p ... Link to item Cite

Robust Clustering with Subpopulation-specific Deviations.

Journal article Journal of the American Statistical Association · January 2020 Featured Publication The National Birth Defects Prevention Study (NBDPS) is a case-control study of birth defects conducted across 10 U.S. states. Researchers are interested in characterizing the etiologic role of maternal diet, collected using a food frequency questionnaire. ... Full text Cite

Non-parametric Bayes models for mixed scale longitudinal surveys

Journal article Journal of the Royal Statistical Society Series C Applied Statistics · August 1, 2019 Featured Publication Modelling and computation for multivariate longitudinal surveys have proven challenging, particularly when data are not all continuous and Gaussian but contain discrete measurements. In many social science surveys, study participants are selected via compl ... Full text Cite

Bayesian local extremum splines

Journal article Biometrika · December 1, 2017 Featured Publication Cite

Association Between Biomarkers of Ovarian Reserve and Infertility Among Older Women of Reproductive Age

Journal article Journal of the American Medical Association · October 10, 2017 Featured Publication Importance Despite lack of evidence of their utility, biomarkers of ovarian reserve are being promoted as potential markers of reproductive potential. Objective To determine the associations between biomarkers of ovarian reserve and reproductive poten ... Full text Link to item Cite

Lactational Exposure to Polybrominated Diphenyl Ethers and Its Relation to Early Childhood Anthropometric Measurements.

Journal article Environmental health perspectives · October 2016 Featured Publication BackgroundPolybrominated diphenyl ethers (PBDEs) are ubiquitous environmental contaminants that may influence growth and development.ObjectiveWe investigated the association between exposure to PBDEs via breast milk and anthropometric mea ... Full text Cite

Nonparametric Bayes modeling with sample survey weights.

Journal article Statistics & probability letters · June 2016 Featured Publication 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 inclusion. Although there have been some proposals for including sample survey we ... Full text Cite

Prenatal Phthalate Exposures and Body Mass Index Among 4- to 7-Year-old Children: A Pooled Analysis.

Journal article Epidemiology (Cambridge, Mass.) · May 2016 Featured Publication BackgroundPhthalates are hypothesized to cause obesity, but few studies have assessed whether prenatal phthalate exposures are related to childhood body mass index (BMI).MethodsWe included 707 children from three prospective cohort studie ... Full text Cite

Prenatal Phthalate Exposures and Childhood Fat Mass in a New York City Cohort.

Journal article Environmental health perspectives · April 2016 Featured Publication BackgroundExperimental animal studies and limited epidemiologic evidence suggest that prenatal exposure to phthalates may be obesogenic, with potential sex-specific effects of phthalates having anti-androgenic activity.ObjectivesWe aimed ... Full text Cite

Nonparametric Bayes modeling for case control studies with many predictors.

Journal article Biometrics · March 2016 Featured Publication It is common in biomedical research to run case-control studies involving high-dimensional predictors, with the main goal being detection of the sparse subset of predictors having a significant association with disease. Usual analyses rely on independent s ... Full text Cite

Spatially Modelling the Association Between Access to Recreational Facilities and Exercise: The 'Multi-Ethnic Study of Atherosclerosis'.

Journal article J R Stat Soc Ser A Stat Soc · January 2016 Featured Publication Numerous studies have investigated the relationship between the built environment and physical activity. However these studies assume that these relationships are invariant over space. In this study, we introduce a novel method to analyze the association b ... Full text Link to item Cite