14 citations · 15 across the 7 of their papers we have counts for
9 papers
A Bayesian Multiscale Integrated Abundance Model for Estimating Latent Opioid Misuse Prevalence from Spatially Misaligned Data
Staci A. Hepler, Brian N. White, Magdalena Cerda +3
Estimating small area prevalence of opioid misuse is critical for targeting public health interventions, yet direct measures are unavailable and related surveillance data are often…
Bayesian Nonparametric Approaches to Ordinal Drought Modeling in the United States
Mostafa Shams, Robert Erhardt, Staci Hepler
Data observed over space and time can exhibit dependence across both dimensions, and datasets can grow very large in both the number of locations and the number of time periods. Th…
Three Case Studies of Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Data
Mostafa Shams, Robert Erhardt, Staci Hepler
High dimensional spatio-temporal models can quickly run up against computational limitations. Recursive or multi-stage Bayesian algorithms are one way to address this computational…
The Impact of a Gridded Streamflow Measure on Drought Variation in the Conterminous United States
Rob Erhardt, Courtney Di Vittorio, Staci Hepler +3
Models for droughts draw on a wide range of meteorological and hydrological inputs. Stakeholders classify droughts according to different purposes and priorities, and accordingly r…
Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
Staci Hepler, Rob Erhardt
High dimensional space-time data pose known computational challenges when fitting spatio-temporal models. Such data show dependence across several dimensions of space as well as in…
Combining straight-line and map-based distances to investigate the connection between proximity to healthy foods and disease
Sarah C. Lotspeich, Ashley E. Mullan, Lucy D'Agostino McGowan +1
Healthy foods are essential for a healthy life, but accessing healthy food can be more challenging for some people than others. This disparity in food access may lead to disparitie…
The `Why' behind including `Y' in your imputation model
Lucy D'Agostino McGowan, Sarah C. Lotspeich, Staci A. Hepler
Missing data is a common challenge when analyzing epidemiological data, and imputation is often used to address this issue. Here, we investigate the scenario where a covariate used…
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio
Staci A. Hepler, David Kline, Andrea Bonny +2
Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of…
A latent spatial factor approach for synthesizing opioid associated deaths and treatment admissions in Ohio counties
Staci Hepler, Erin McKnight, Andrea Bonny +1
Background: Opioid misuse is a major public health issue in the United States and in particular Ohio. However, the burden of the epidemic is challenging to quantify as public healt…