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Harrison Quick

Showing results (1-10 of 36) with videos related to

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Preventing Chronic Disease|June 15, 2019
Estimating County-Level Mortality Rates Using Highly Censored Data From CDC WONDERHarrison Quick
Journal of Official Statistics|October 4, 2024
Reliable event rates for disease mappingHarrison Quick, Guangzi Song
Spatial and Spatio-Temporal Epidemiology|November 10, 2018
Using spatiotemporal models to generate synthetic data for public useHarrison Quick, Lance A Waller
Annals of Work Exposures and Health|April 11, 2017
A Method for Constructing Informative Priors for Bayesian Modeling of Occupational Hygiene DataHarrison Quick, Tran Huynh, Gurumurthy Ramachandran
Epidemiology (Cambridge, Mass.)|July 26, 2021
Effect of Adjustment for Case Misclassification and Infection Date Uncertainty on Estimates of COVID-19 Effective Reproduction NumberNeal D Goldstein, Harrison Quick, Igor Burstyn
Spatial and Spatio-Temporal Epidemiology|June 14, 2024
Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in PennsylvaniaGuangzi Song, Loni Philip Tabb, Harrison Quick
Biometrics|April 23, 2015
Bayesian modeling and analysis for gradients in spatiotemporal processesHarrison Quick, Sudipto Banerjee, Bradley P Carlin
The Annals of Applied Statistics|April 3, 2018
MODELING TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATAHarrison Quick, Sudipto Banerjee, Bradley P Carlin
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 23, 2015
Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization dataHarrison Quick, Bradley P Carlin, Sudipto Banerjee
Spatial and Spatio-Temporal Epidemiology|May 13, 2021
Evaluating the informativeness of the Besag-York-Mollié CAR modelHarrison Quick, Guangzi Song, Loni Philip Tabb
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Preventing Chronic Disease|June 15, 2019
Estimating County-Level Mortality Rates Using Highly Censored Data From CDC WONDERHarrison Quick
Journal of Official Statistics|October 4, 2024
Reliable event rates for disease mappingHarrison Quick, Guangzi Song
Spatial and Spatio-Temporal Epidemiology|November 10, 2018
Using spatiotemporal models to generate synthetic data for public useHarrison Quick, Lance A Waller
Annals of Work Exposures and Health|April 11, 2017
A Method for Constructing Informative Priors for Bayesian Modeling of Occupational Hygiene DataHarrison Quick, Tran Huynh, Gurumurthy Ramachandran
Epidemiology (Cambridge, Mass.)|July 26, 2021
Effect of Adjustment for Case Misclassification and Infection Date Uncertainty on Estimates of COVID-19 Effective Reproduction NumberNeal D Goldstein, Harrison Quick, Igor Burstyn
Spatial and Spatio-Temporal Epidemiology|June 14, 2024
Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in PennsylvaniaGuangzi Song, Loni Philip Tabb, Harrison Quick
Biometrics|April 23, 2015
Bayesian modeling and analysis for gradients in spatiotemporal processesHarrison Quick, Sudipto Banerjee, Bradley P Carlin
The Annals of Applied Statistics|April 3, 2018
MODELING TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATAHarrison Quick, Sudipto Banerjee, Bradley P Carlin
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 23, 2015
Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization dataHarrison Quick, Bradley P Carlin, Sudipto Banerjee
Spatial and Spatio-Temporal Epidemiology|May 13, 2021
Evaluating the informativeness of the Besag-York-Mollié CAR modelHarrison Quick, Guangzi Song, Loni Philip Tabb
Pageof 4