activity
20132023
most citedModeling temporal gradients in regionally aggregated California asthma hospitalization data

38 citations · 154 across the 9 of their papers we have counts for

collaborators
Showing stat.MEShow all

6 papers · 1 filter

stat.ME2023

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…

stat.ME2019★ 7 cited

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…

stat.ME2016★ 27 cited

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…

stat.ME2015★ 10 cited

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…

stat.ME2015★ 34 cited

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…

stat.ME2014★ 23 cited

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…