38 citations · 154 across the 9 of their papers we have counts for
10 papers
Reliable event rates for disease mapping
Harrison Quick, Guangzi Song
When analyzing spatially referenced event data, the criteria for declaring rates as "reliable" is still a matter of dispute. What these varying criteria have in common, however, is…
Geographic and Racial Disparities in the Incidence of Low Birthweight in Pennsylvania
Guangzi Song, Loni Philip Tabb, Harrison Quick
Babies born with low and very low birthweights -- i.e., birthweights below 2,500 and 1,500 grams, respectively -- have an increased risk of complications compared to other babies,…
Improving the Utility of Poisson-Distributed, Differentially Private Synthetic Data via Prior Predictive Truncation with an Application to CDC WONDER
Harrison Quick
CDC WONDER is a web-based tool for the dissemination of epidemiologic data collected by the National Vital Statistics System. While CDC WONDER has built-in privacy protections, the…
Evaluating the Informativeness of the Besag-York-Mollié CAR Model
Harrison Quick, Guangzi Song, Loni Tabb
The use of the conditional autoregressive framework proposed by Besag, York, and Mollié (1991; BYM) is ubiquitous in Bayesian disease mapping and spatial epidemiology. While it is…
Generating Poisson-Distributed Differentially Private Synthetic Data
Harrison Quick
The dissemination of synthetic data can be an effective means of making information from sensitive data publicly available while reducing the risk of disclosure associated with rel…
Hierarchical multivariate space-time methods for modeling counts with an application to stroke mortality data
Harrison Quick, Lance A. Waller, Michele Casper
Geographic patterns in stroke mortality have been studied as far back as the 1960s, when a region of the southeastern United States became known as the "stroke belt" due to its unu…
Generating Partially Synthetic Geocoded Public Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Scott H. Holan, Christopher K. Wikle
When collecting geocoded confidential data with the intent to disseminate, agencies often resort to altering the geographies prior to making data publicly available due to data pri…
A Nonseparable Multivariate Space-Time Model for Analyzing County-Level Heart Disease Death Rates by Race and Gender
Harrison Quick, Lance A. Waller, Michele Casper
While death rates due to diseases of the heart have experienced a sharp decline over the past 50 years, these diseases continue to be the leading cause of death in the United State…
Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography
Harrison Quick, Scott H. Holan, Christopher K. Wikle +1
Many data stewards collect confidential data that include fine geography. When sharing these data with others, data stewards strive to disseminate data that are informative for a w…
Modeling temporal gradients in regionally aggregated California asthma hospitalization data
Harrison Quick, Sudipto Banerjee, Bradley P. Carlin
Advances in Geographical Information Systems (GIS) have led to the enormous recent burgeoning of spatial-temporal databases and associated statistical modeling. Here we depart from…