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pro vyhledávání: '"Herring, Amy"'
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 of distinct subtypes, motivating several studies to identify clusters
Externí odkaz:
http://arxiv.org/abs/2405.01746
Developmental epidemiology commonly focuses on assessing the association between multiple early life exposures and childhood health. Statistical analyses of data from such studies focus on inferring the contributions of individual exposures, while al
Externí odkaz:
http://arxiv.org/abs/2311.16470
Factor models have been widely used to summarize the variability of high-dimensional data through a set of factors with much lower dimensionality. Gaussian linear factor models have been particularly popular due to their interpretability and ease of
Externí odkaz:
http://arxiv.org/abs/2311.08254
In this paper we predict sea surface salinity (SSS) in the Arctic Ocean based on satellite measurements. SSS is a crucial indicator for ongoing changes in the Arctic Ocean and can offer important insights about climate change. We particularly focus o
Externí odkaz:
http://arxiv.org/abs/2210.03913
Publikováno v:
Stat Biosci (2023)
Estimating sample size and statistical power is an essential part of a good study design. This R package allows users to conduct power analysis based on Monte Carlo simulations in settings in which consideration of the correlations between predictors
Externí odkaz:
http://arxiv.org/abs/2209.08036
Functional factor analysis is an important dimension reduction method for functional and longitudinal data. Factor loadings give insight into patterns of variability of the observations, while latent factors provide a low-dimensional representation o
Externí odkaz:
http://arxiv.org/abs/2205.12361
Publikováno v:
In Preventive Medicine May 2024 182
Autor:
Gupta, Anjali, Wilson, Lauren E., Pinheiro, Laura C., Herring, Amy H., Brown, Tyson, Howard, Virginia J., Akinyemiju, Tomi F.
Publikováno v:
In SSM - Population Health December 2023 24
Autor:
Jin, Bora, Dunson, David B., Rager, Julia E., Reif, David, Engel, Stephanie M., Herring, Amy H.
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
Externí odkaz:
http://arxiv.org/abs/2009.08405
In many studies, dimension reduction methods are used to profile participant characteristics. For example, nutrition epidemiologists often use latent class models to characterize dietary patterns. One challenge with such approaches is understanding s
Externí odkaz:
http://arxiv.org/abs/2007.04509