Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Quick, Harrison"'
Autor:
Quick, Harrison, Song, Guangzi
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 that they are rarely satisfied for crude estimates in small area anal
Externí odkaz:
http://arxiv.org/abs/2302.04582
Autor:
Dsouza, Nishita, Carroll-Scott, Amy, Bilal, Usama, Headen, Irene E., Quick, Harrison, Reis, Rodrigo, Abraham, Mark, Martinez-Donate, Ana P.
Publikováno v:
In Health and Place September 2024 89
Autor:
Quick, Harrison1,2 (AUTHOR) quic0038@umn.edu, Song, Guangzi2 (AUTHOR)
Publikováno v:
Journal of Official Statistics (JOS). Jun2024, Vol. 40 Issue 2, p333-347. 15p.
Autor:
Xu, Yang, McClure, Leslie A, Quick, Harrison, Jahn, Jaquelyn L, Zakeri, Issa, Headen, Irene, Tabb, Loni Philip
Publikováno v:
In Spatial and Spatio-temporal Epidemiology June 2024 49
Publikováno v:
In Spatial and Spatio-temporal Epidemiology June 2024 49
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, and the proportion of babies with a low birthweight is a common metric
Externí odkaz:
http://arxiv.org/abs/2106.10571
Autor:
Quick, Harrison
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, they do not satisfy formal privacy protections such as differential priva
Externí odkaz:
http://arxiv.org/abs/2103.03833
Publikováno v:
Spatial and Spatio-temporal Epidemiology, 37, 100420 (2021)
The use of the conditional autoregressive framework proposed by Besag, York, and Molli\'e (1991; BYM) is ubiquitous in Bayesian disease mapping and spatial epidemiology. While it is understood that Bayesian inference is based on a combination of the
Externí odkaz:
http://arxiv.org/abs/2007.10559
Autor:
Quick, Harrison
Publikováno v:
Journal of the Royal Statistical Society, Series A (Statistics in Society), 184, 1093-1108 (2021)
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 releasing the sensitive data directly. While mechanisms exist for synthes
Externí odkaz:
http://arxiv.org/abs/1906.00455
Autor:
Ransome, Yusuf, Luan, Hui, Dean, Lorraine T, Quick, Harrison, Nassau, Tanner, Kawachi, Ichiro, Brady, Kathleen A
Publikováno v:
In Spatial and Spatio-temporal Epidemiology August 2022 42