My primary research interest is in the development and application of statistical methods for analyzing complex spatial-temporal exposure and health data. Our current projects focus on two broad areas of population health: (1) exposure assessment for air quality and extreme weather events, especially under a changing climate, and (2) health effect estimation and impact assessment leveraging large databases, such as birth/death certificates, hospital billing records, electronic health records, and disease surveilleince systems. I also have collaborative experience in ecology, infectious disease, social epidemiology, and community intervention trials.
1. Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity.
2. Extreme Heat Events and Pregnancy Duration: a National Study
3. Dust Storms and Emergency Department Visits in Four Southwestern US States
4. Spatio-temporal Data Integration Methods for Infectious Disease Surveillance.
5. Neighborhood transportation vulnerability and geographic patterns of diabetes-related limb loss.
Areas of Interest
- Air Pollution
- Climate and Health
- Environmental Health
- Exposure Assessment
- Infectious Disease
- Spatial Analysis/GIS
- PhD 2009, Johns Hopkins University
- BSc 2004, University of British Columbia
- BIOS 525: Longitudinal Data Analysis
- Comess S, Chang HH, Warren JL, 2022, A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth., Biostatistics, ,
- Zhang Y, Chang HH, Cheng Q, Collender PA, Li T, He J, Remais JV., 2022, A hierarchical model for analyzing multisite individual-level disease surveillance data from multiple systems, Biometrics, ,
- Thomas N, Ebelt ST, Newman AJ, Scovronick N, D’Souza RR, Moss SE, Warren JL, Strickland MJ, Darrow LA, Chang HH., 2021, Time-series analysis of daily ambient temperature and emergency department visits in five US cities with a comparison of exposure metrics derived from 1-km meteorology products, Environmental Health, 20,
- Berrocal VJ, Guan Y, Muyskens A, Wang H, Reich BJ, Mulholland JA, Chang HH., 2020, A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration., Atmospheric Environment, 222,
- Li X, Chang HH, Cheng Q, Collender PA, Li T, He J, Waller LA, Lopman BA, Remais JV, 2020, A spatial hierarchical model for integrating and bias-correcting data from passive and active disease surveillance systems, Spatial and Spatio-Temporal Epidemiology, 35,
- Murray NL, Holmes HA, Liu Y, Chang HH, 2019, A Bayesian ensemble approach to combine PM2.5 estimates from statistical models using satellite imagery and numerical model simulation, Environmental Research, 178,
- Pan A, Sarnat SE, Chang HH., 2018, Time-Series Analysis of Air Pollution and Health Accounting for Covariate-Dependent Overdispersion, American Journal of Epidemiology, 187,
- Chang HH, Sarnat SE, Liu Y, 2017, Projecting health impacts of climate change: embracing an uncertain future., Chance, 30, 55-61
- Chen T, Sarnat SE, Grundstein AJ, Winquist A, Chang HH, 2017, Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012, Environmental Health Perspectives, 125, 057009
- Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA, 2015, Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study., Biostatistics, 16, 509-521
- Chang HH, Hao H, Sarnat SE., 2014, A statistical modeling framework for projecting future ambient ozone and its health impact due to climate change., Atmospheric Environment, 89, 290–297
- Chang HH, Hu X, Liu Y, 2014, Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling., Journal of Exposure Science and Environmental Epidemiology, 24, 398-404
- Chang HH, Reich BJ, Miranda ML, 2013, A spatial time-to-event approach for estimating associations between air pollution and preterm birth., Journal of the Royal Statistical Society: Series C, 62, 167-179
- Chang HH, Reich BJ, Miranda ML, 2012, Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005 (with invited commentary)., American Journal of Epidemiology, 175, 91-98
- Chang HH, Peng RD, Dominici F, 2011, Estimating the acute health effects of coarse particulate matter accounting for exposure measurement error., Biostatistics, 12, 637-652