2018/To Appear

96. Time-Series Analysis of Air Pollution and Health Accounting for Covariate-Dependent OverdispersionPan A, Sarnat SE, Chang HH (2018). American Journal of Epidemiology

95. Modelled spatiotemporal trends across the Eastern United States in PM2.5 oxidative potential measured with dithiothrietol assayBates JT, Weber RJ, Verma V, Fang T, Ivey C, Liu C, Klein M, Sarnat SE, Chang HH, Mulholland JA, Russell A. (2018). Atmospheric Environment, 193, 158-267. 

94. A Bayesian downscaler model to estimate daily PM2.5 levels in the continental U.SWang Y, Hu X, Chang HH, Waller LA, Belle JH, Liu Y (2018). International Journal of Environmental Research and Public Health, 15(9), 1999.

93. Longitudinal Impacts of Two Causal Drivers of Alcohol Demand on Outlet Concentrations within Community Settings: Population Size and Income Effects. Jin Z, Chang HH, Ponicki WR, Gaidus A, Waller LA, Morrison C, Gruenewald PJ (2018). Spatial and Spatio-temporal Epidemiology, 2018 Jul 17.

92. Characterization of the concentration-response curve for ambient ozone and acute respiratory morbidity in 5 US citiesBarry V, Klein M, Winquist A, Chang HH, Mulholland JA, Talbott EO, Rager JR, Tolbert PE, Sarnat SE (2018). Journal of Exposure Science & Environmental Epidemiology, 19:1.

91. Satellite‐based daily PM2.5 estimates during fire seasons in ColoradoGeng G, Murray NL, Tong D, Fu JS, Hu X, Lee P, Meng X, Chang HH, Liu Y (2018). Journal of Geophysical Research: Atmospheres. 

90. Short-and medium-term associations of particle number concentration with cardiovascular markers in a Puerto Rican cohortCH Fuller, MS O’Neill, JA Sarnat, HH Chang, KL Tucker, D Brugge (2018). Environmental Research, 166, 595-601. 

89. Use of high-resolution metabolomics for the identification of metabolic signals associated with traffic-related air pollutionLiang D, Moutinho JL, Golan R, Yu T, Ladva CN, Niedzwiecki M, Walker DI, Sarnat SE, Chang HH, Greenwald R, Jones DP, Russell AG, Sarnat JA (2018). Environment International, 20:145-54

88. A multicity study of air pollution and cardiorespiratory emergency department visits: Comparing approaches for combining estimates across cities. Krall JR, Chang HH, Waller LA, Mulholland JA, Winquist A, Talbott EO, Rager JR, Tolbert PE, Sarnat SE. (2018). Environment International, 120, 312-320. 

87. Associations between birth outcomes and maternal PM2.5 exposure in Shanghai. Xiao Q, Chen H, Strickland MJ, Kan H, Chang HH, Klein M, Yang C, Meng X, Liu Y (2018). Environment International, 117, 226-236. 

86. The impact of school WASH improvements on infectious disease using serum antibody detection. Chard AN, Trinies V, Moss DM, Chang HH, Doumbia S, Lammie PJ, Freeman MC (2018). PLOS Neglected Tropical Diseases, 12(4), e0006418.

85. Spatial regression with an Informatively Missing Covariate. Grantham NS, Reich BJ, Liu Y, Chang HH (2018). Environmetrics, 29, 4, e2499.

84. Early-life exposure to PM2.5 and risk of asthma clinical encounters among children in Massachusetts: a case-crossover analysis. Khalili R, Bartell SM, Hu X, Liu Y, Chang HH, Belano. C, Strickland MJ, Vieira VM (2018). Environmental Health, 17:20.

83. Estimating acute cardiovascular effects of ambient PM2.5 metals. Ye D, Klein M, Mulholland JA, Russell AG, Weber R, Edgerton E, Chang HH, Sarnat JA, Tolbert PE, Sarnat SE (2018).  Environmental Health Perspectives, 126(2), DOI:10.1289/EHP2182.

82. Infuence of Acute Air Pollution Exposure on Infant Bronchiolitis and Otitis Media Clinical Encounters. Girguis MS, Strickland MJ, Hu X, Liu Y, Chang HH, Kloog I, Diop H, Elonoff C,Bartell SM, Vieira VM (2018).  Journal of Exposure Science and Environmental Epidemiology.

81. Cross-comparison and evaluation of air pollution .field estimation methods. Yu H, Russell A, Mulholland J, Oldman T, Hu Y, Chang HH, Kumar N (2018).  Atmospheric Environment, 179, 49-60. 

80. Errors associated with the use of roadside monitoring to study acute traffic pollutant-related health effects. Liang D, Golan R, Moutinho JL, Chang HH, Greenwald R, Sarnat SE, Russell A, Sarnat JA (2018).  Environmental Research, 165, 210-219.

79. Estimates of global seasonal infuenza-associated respiratory mortality: a modelling study. Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, Cohen C, Gran JM, Schanzer D, Wu P, Kyncl J, Ang LW, Park M, Redlberger-Fritz M, Yu H, Espenhain L, Krishnan A, Emukule G, van Asten L, Pereira da Silva S, Aungkulanon S, Buchholz U, Widdowson MA, Bresee JS for the Global Seasonal Infuenza Mortality Working Group (2018).  Lancet, 391, 1285-1300.

78. Time series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, Mississippi. Chang HH, Pan A, Lary DJ, Waller LA, Zhang L, Brackin BT, Finley RW, Faruque FS (2018). Environmental Monitoring and Assessment.


77.  Projecting Health Impacts of Climate Change: Embracing an Uncertain Future. Chang HH, Sarnat SE, Liu Y (2017). Chance, 30, 55-61. [Link]

76. Associations between ambient fine particulate oxidative potential and cardiorespiratory emergency department visits. Abrams JY, Weber RJ, Klein M, Sarnat SE, Chang HH, Strickland MJ, Verma V, Fang T, Bates JT, Mulholland JA, Russell AG, Tolbert PE (2017). Environmental Health Perspectives, OI:10.1298/EHP1545. [Link]

75. How low do we need to go? The potential health benefits of lower household air pollution from a liquified petroleum gas (LPG) cookstove intervention. Steenland K, Pillarisetti A, Kirby M, Peel J, Clark M, Checkley W, Chang HH, Clasen T (2017). Environment International, 111, 71-79. [Link

74. Time-series analysis of heat waves and emergency department visits in Atlanta, 1993 to 2012. Chen T, Sarnat SE, Winquist A,  Grundstein A, Chang HH (2017). Environmental Health Perspectives, 125(5), DOI:10.1289/EHP44. [Link]

73. The potential impact of satellite-retrieved cloud parameters on ground-level PM2.5 mass and composition. Belle JH, Chang HH, Wang Y, Hu X, Lyapustin A, Liu Y (2017). International Journal of Environmental Research and Public Health, 14(10), 1244. [Link]

72. Stepped-wedge cluster-randomized controlled trial to assess the human health effects of a managed aquifer recharge initiative in coastal Bangladesh: study design and rationale. Naser AM, Unicomb L, Ahmed KM, Doza S, Rahman M, Uddin MN, Quraishi SB, Shamsudduha M, Burgess W, Chang HH, Gribble MO, Clasen TF, Luby SP (2017). BMJ Open, 7:e015205. [Link]

71. The impact of climate change and emissions control on future ozone levels: implications for human health. Stowell JD, Kim Y, Gao Y, Fu JS, Chang HH, Liu Y.  Environment International. [Link]

70. Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China. Xiao, Q, Wang Y, Chang HH, Meng X, Geng G, Lyapustin A, Liu Y. Remote Sensing of Environment [Link]

69. Data integration model for air quality: a hierarchical Approach to the Global Estimation of Exposures to Ambient air pollution. Shaddick G, Thomas ML, Jobling A, Brauer M, van Donkerlaar A, Burnnet R, Chang HH, Cohen A, van Dingene R, Dora C, Gumy S, Liu Y, Marti R, Waller LA, West J, Zidek JV, Pruss-Ustun A. Journal of the Royal Statistical Society, Series C Applied Statistic. [Link]

68. Chronic PM2.5 exposure and risk of infant bronchiolitis and otitis media clinical encounters. Girguis MS, Strickland MJ, Hu X, Liu Y, Chang HH, Belanoff C, Bartell SM, Vieira VM (2017). International Journal of Hygiene and Environmental  Health, 220, 1055-1063. [Link]

67. Design and rationale of a matched cohort study to assess the effectiveness of a combined household-level piped water and sanitation intervention in rural Odisha, India. Reese H, Routray P, Torondel B, Sclar G, Delea MG, Sinharoy SS, Zambrano L, Caruso B, Mishra SR, Chang HH, Clasen T (2017). BMJ Open, 7:e012719. [Link]

66. Socioeconomic status and non-fatal adult injuries in selected Atlanta (Georgia USA) hospitals. Hulland E, Chowdhury R, Sarnat SE, Chang HH, Steeland K. Prehospital and Disaster Medicine, 32, 403-413. [Link] 

65. Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods. Tian S, Wang C, Chang HH, Sun J (2017). Biology Direct, 7:46164. [Link]

64. Ozone and childhood respiratory disease in three US cities: evaluation of effect measure modification by neighborhood socioeconomic status using  hierarchical approach. O'Lenick C, Chang HH, Kramer M, Winquist A, Mulholland J, Friberg M, Sarnat SE (2017). Environmental Health, 16:36. [Link]

63. Accountability assessment of regulatory impacts on ozone and PM2.5 concentrations using statistical and deterministic pollutant sensitivities. Henneman LRF, Chang HH, Liao KJ, Lavoue D, Mulholland JA, Russell AG (2017). Air Quality, Atmosphere & Health, DOI 10.1007/s11869-017-0463-2. [Link]

62. Measurement error correction for predicted spatiotemporal air pollution exposures. Keller JP, Chang HH, Strickland MJ, Szpiro AA (2017). Epidemiology 28(3), 338-345. [Link]

61. Daily Estimation of Ground-Level PM2.5 Concentrations at 4 km Resolution over Beijing-Tianjin-Hebei by Fusing MODIS AOD and Ground Observations. Lv B, Hu Y, Chang HH, Russell AG, Cai J, Xu B, Bai Y (2017). Science of the Total Environment, 580, 235-244. [Link]

60. Evaluation of individual and neighborhood factors as modifiers of the association between warm-season temperature and pediatric asthma morbidity in Atlanta, GA. O'Lenick CR, Winquist A, Chang HH, Kramer MR, Mulholland JA, Grundstein A, Sarnat SE (2017). Environmental Research, 156, 132-144. [Link]

59. Daily Ambient Air Pollution Metrics for Five Cities: Evaluation of Data-Fusion-based Estimates and Uncertainties. Friberg MD, Kahn RA, Holmes HA, Chang HH, Sarnat SE, Tolbert PE , Russell AG, Mulholland JA (2017). Atmospheric Environment, 158, 36-50. [Link]

58. Estimating the acute cardiorespiratory effects of ambient volatile organic compound mixtures. Ye D, Klein K, Chang HH, Sarnat JA, Mulholland JA, Edgerton E, Winquist A, Tolbert PE, Sarnat SE (2017). Epidemiology, 28, 197-206.  [Link]

57. Assessment of neighbourhood-level socioeconomic status as a modifier of air pollution–asthma associations among children in AtlantaO'Lenick CR, Winquist A, Mulholland JA, Friberg MD, Chang HH, Kramer MR, Darrow LA, Sarnat SE.  Journal of Epidemiology and Community Health 71, 129-136.  [Link]

56. Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact networkChen I, Benzi M, Chang HH, Hertzberg VS (2017).  Journal of Complex Networks 5 (2): 274-302. [Link]


55. A simulation study to quantify attenuation and bias of health risk estimates due to exposure measurement in bipollutant epidemiologic model. Dionisio KL, Chang HH, Baxter LK (2016). Environmental Health 15:114.

54. Weighted SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes. Tian S, Wang C, Chang HH (2016).  Biology Direct, 11:50.

53. Assessing the Association between Thermotolerant Coliforms in Drinking Water and Diarrhea: An Analysis of Individual Level Data from Multiple StudiesHodge J, Chang HH, Boisson S, Collin SM, Peletz R, Clasen T (2016).  Environmental Health Perspectives 124(10):1560-1567. [Link]

52. Air pollution and preterm birth in the U.S. State of Georgia (2002 - 2006) associations with concentrations of 11 ambient air pollutants estimated by combining Community Multiscale Air Quality Model (CMAQ) simulations with stationary monitor measurementsHao H, Chang HH, Holmes HA, Mulholland JA, Klein M, Darrow LA, Strickland MJ (2016). Environmental Health Perspectives 124(6):875-80. [Link]

51. Flexible space-time hurdle models for zero-inflated count data: exploring spatiotemporal trends in emergency department visits. Neelon B, Chang HH, Ling Q, Hastings SN (2016). Statistical Methods in Medical Research 25, 2558-2576.  [Link]

50. Genetic evidence of contemporary dispersal of the intermediate snail host of Schistosoma japonicum: movement of an NTD host is facilitated by land use and landscape connectivity. Head JR, Chang HH, Li Q, Hoover C, Wilke T, Carlton E, Liang S, Lu D, Zhong B, Remais JV (2016). PLOS Neglected Tropical Diseases, 10(12), e0005151.

49. A bioequivalence test by the direct comparison of concentration-versus-time curves using local polynomial smoothers. Tian S,  Chang HH, Orange D, Gu J, Suarez-Farinas M (2016). Computational and Mathematical Methods in Medicine 4680642 [Link]

48. Pediatric emergency visits and short-term changes in PM2.5 concentrations in U.S. State of GeorgiaStrickland MJ, Hao H, Hu X, Chang HH, Darrow LA, Liu Y (2016).  Environmental Health Perspectives 124:690-696. [Link]

47. Ambient air pollution epidemiology systematic review and meta-analysis: a review of reporting and methods practice. Sheehan MC, Lam J, Navas-Acien A, Chang HH (2016)Environment International, 92-93:647-656. [Link]

46.  Improving the accuracy of high-resolution daily PM2.5 distributions derived from the fusion of ground level measurements with aerosol optical depth observations, a case study in the North ChinaLv B, Hu Y, Chang HH, Russell AG, Bai Y (2016). Environmental Sciences & Technology. 50: 4752-4759. [Link]

45. Using Self-Organizing Maps to Identify Spatial Profiles for the Regionalization of Multipollutant Air Quality.  Pearce JL, Waller LA, Sarnat SE, Chang HH, Klein M, Mulholland JA, Tolbert PE (2016)Spatial and Spatio-Temporal Epidemiology. 18: 13-23. [Link]

44. The Impact of a School-Based Water, Sanitation, and Hygiene Program on Absenteeism, Diarrhea, and Respiratory Infection: A Matched–Control Trial in MaliTrinies V, Garn JV, Chang HH, Freeman MC (2016). American Journal of Tropical Medicine and Hygiene 94: 1418-1425. [Link]

43. Warm season temperatures and emergency department visits in Atlanta, GeorgiaWinquist A, Grundstein A, Chang HH, Hess J, Sarnat SE (2016).  Environmental Research. 147: 314-323. [Link]

42. Blending of Observational Data and Chemical Transport Model Simulations for Developing Spatiotemporal Air Pollutant Concentrations for Use in Health StudiesFriberg MD, Zhai X, Holmes HA, Russell AG, Mulholland JA, Chang HH, Strickland MJ, Sarnat SE, Tolbert PE (2016) Environmental Sciences & Technology. 50: 3695-3705. [Link]

41. Ambient air pollution and emergency department visits for asthma: a multi-city assessment of effect modification by age. Alhanti BA, Chang HH, Winquist A, Darrow LA, Mulholland JA, Sarnat SE (2016). Journal of Exposure Science and Environmental Epidemiology, 26, 180-188.  [Link]

40.  A County-level analysis of persons living with HIV in the southern United States. Gray SC, Massaro Y, Edholm C, Grotheer R, Chen I, Zheng Y, Chang HH (2016).  AIDS Care, 28, 266-272. [Link]

39. Oxidative potential of ambient water-soluble PM2.5 in the southeastern United States: contrasts in sources and health associations between ascorbic acid (AA) and dithiothreitol (DTT) assays. Fang T, Verma V, Bates JT, Abrams J, Klein M, Strickland MJ, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG, Webber RJ (2016). Atmospheric Chemistry and Physics, 16: 3865-3879. [Link]


38. Statistical methods for estimating associations between PM chemical constituents and health in epidemiologic studies. Krall JR, Chang HH, Sarnat SE, Peng RD, Waller LA (2015).   Current Environmental Health Reports, 2, 388-398. [Link]

37. Geographic variation and neighborhood factors are associated with low rates of pre-end-stage renal disease nephrology care. Hao H, Lovasik B, Pastan S, Chang HH, Patzer R (2015).  Kidney International, 88, 614-621. [Link]

36. Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach. Gass K, Klein M, Sarnat SE, Winquist A, Darrow LA, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Strickland MJ (2015). Environmental Health, 14:58. [Link]

35. Exploring associations between multipollutant day types and asthma morbidity: epidemiologic applications of self-organizing map ambient air quality classifications. Pearce JL, Waller LA, Mulholland JA, Sarnat SE, Strickland MJ, Chang HH, Tolbert PE (2015). Environmental Health, 14:55. [Link]

34. Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA (2015). Biostatistics, 15, 509-521. [Link]

33. Associations between weather and microbial contamination on fresh-produce prior to harvestWard M, Dhingra R, Remais JV, Chang HH, Johnston LM, Jaykus LA, Leon J (2015).  Journal of Food Protection, 78, 849-854[Link]

32. Ensemble-based source apportionment of fine particulate matter and emergency department visits for pediatric asthmaGass K, Balachandran S, Chang HH, Russell AG, Strickland MJ (2015).  American Journal of Epidemiology, 181, 496-503. [Link]

31. Reactive oxygen species generation linked to sources of atmospheric particulate matter and cardiorespiratory effectsBates JT, Weber RJ, Abrams J, Verma V, Fang T, Klein M, Strickland, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG (2015). Environmental Sciences & Technology, 49, 13605-13612. [Link]

30. Interventions to improve water quality for preventing diarrhoeaClasen TF, Alexander KT, Sinclair D, Boisson S, Peletz R, Chang HH, Majorin F, Cairncross S (2015).  Cochrane Database of Systematic Reviews, 10, Art. No.: CD004794. [Link]


29. A spectral method for spatial downscalingReich BJ, Chang HH, Foley K (2014). Biometrics, 70, 932-942. [Link]

28. Associations between outdoor air pollutant concentrations and emergency department visits for pediatric asthma: stratification by potentially susceptible subpopulationsStrickland MJ, Klein M, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Darrow LA (2014). Epidemiology, 25, 902-909. [Link]

27. An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic modelsDionisio KL, Baxter LK, Chang HH (2014). Environmental Health Perspectives, 122, 1216-1224. [Link]

26. Intermodel comparison of the landscape determinants of vector-borne disease: implications for epidemiological and entomological risk modelingLorenz A, Dhingra R, Chang HH, Bisanzio D, Liu Y, Remains JV (2014).   PLoS ONE. DOI: 10.1371/journal.pone.0103163. [Link]

25. Using self-organizing maps to develop ambient air quality classifications: a time series example. Pearce JL, Waller LA, Chang HH, Klein M, Mulholland JA, Sarnat JA, Sarnat SE, Strickland MJ, Tolbert PE (2014).  Environmental Health. doi:10.1186/1476-069X-13-56. [Link]

24. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscalingChang HH, Hu X, Liu Y (2014).   Journal of Exposure Science and Environmental Epidemiology, 24, 398-404.  [Link]

23. Multi-TGDR, a multi-class regularization method, identifies the metabolic profiles of hepatocellular carcinoma and cirrhosis infected with hepatitis B or hepatitis C virusTian S, Chang HH, Wang C, Jiang J, Wang X, Niu J (2014). BMC Bioinformatics, 15:97. [Link]

22. Spatial health effects analysis with uncertain residential locationsReich BJ, Chang HH, Strickland MJ (2014). Statistical Methods in Medical Research, 23:119-133. [Link]

21. Classification and regression trees for epidemiologic researchGass K, Klein M, Chang HH, Flanders WD, Strickland MJ (2014). Environmental Health, 12:17. [Link]

20. A statistical modeling framework for projecting future ambient ozone and its health impact due to climate change.Chang HH, Hao H, Sarnat SE (2014).  Atmospheric Environment, 89, 290-297. [Link]


19. Bayesian-based ensemble technique for source apportionment of PM2.5Balachandran S,  Chang HH, Pach JE, Holmes HA, Mulholland JA, Russell AG (2013).  Environmental Science & Technology. 47, 13511-13518. [Link]

18. Spatially-explicit simulation modeling of ecological response to climate change: methodological considerations in predicting shifting population dynamics of infectious disease vectorsDhingra R, Jimenez V, Chang HH, Gambhir M, Liu Y, Remais, JV (2013).  International Journal of Geo-Information. 2(3), 645-664. [Link]

17.  Application of alternative spatiotemporal metrics of ambient air pollution exposure in a time-series epidemiological study in Atlanta. Sarnat SE, Sarnat JA, Mulholland J, Isakov V, Ozkaynak H,  Chang HH, Klein M, Tolbert PE (2013). Journal of Exposure Science and Environmental Epidemiology, 23, 593-605. [Link]

16. Spatiotemporally-resolved air exchange rate as a modifier of acute air pollution-related morbidity in AtlantaSarnat JA, Sarnat SE, Flanders WD, Chang HH, Mulholland J, Baxter L, Isakov V, Ozkaynak H (2013).  Journal of Exposure Science and Environmental Epidemiology. 23, 606-615. [Link]

15. A spatial time-to-event approach for estimating associations between air pollution and preterm birthChang HH, Reich BJ, and Miranda ML (2013). Journal of the Royal Statistical Society Series C. 62(2), 167-179. [Link]

14. Proximity to roadways and pregnancy outcomesMiranda ML, Edwards SE,  Chang HH, Auten R (2013). Journal of Exposure Science and Environmental Epidemiology. 23(1), 32-38. [Link]

2012 and Earlier

13. Estimating the health impacts of climate change with calibrated model outputZhou J, Chang HH, Fuentes M (2012).Journal of Agricultural, Biological, and Environmental Statistics. 17(3), 377-394. [Link]

12. Time series analysis of personal exposure to ambient PM2.5 and mortality using an exposure simulatorChang HH, Fuentes M, and Frey HC (2012).  Journal of Exposure Science and Environmental Epidemiology. 22(5), 483-488.  [Link]

11. Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005 (with invited commentary)Chang HH, Reich BJ, and Miranda ML (2012).  American Journal of Epidemiology. 175(2): 91-98. [Link]

10. Estimating the acute health effects of coarse particulate matter accounting for exposure measurement error. Chang HH, Peng RD, and Dominici F (2011). Biostatistics. 12(4):637-653. [Link]

9. Impact of climate change on ambient ozone level and mortality in Southeastern United States.  Chang HH, Zhou J, and Fuentes M (2010).  International Journal of Environmental Research and Public Health. 7(7):2866-2880. [Link]

8. Single nucleotide polymorphisms in obesity-related genes and all-cause and cause-specific mortalityGallicchio L, Chang HH, Christo D, Huang H, Strickland P, Ruczinski I, Hoffman SC, and Helzlsouer K (2009). BMC Medical Genetics. 10(1):103. [Link]

7. Scheduled cesarean delivery: maternal and neonatal risks in a community hospital settingLieschen, QH, Chang HH, Blomquist JL, Okoh YK, and Handa HL (2009).  American Journal of Perinatology. 26(4): 271-277. [Link]

6. Coarse particulate matter and emergency hospital admissions for cardiovascular and respiratory diseases: results for 108 US counties, 1999-2005Peng, RD, Chang HH, Bell ML, McDermott A, Zeger SL, Samet JM, and Dominici F (2008). Journal of the American Medical Association. 299(18): 2172-9. [Link] 

5. Female sexual function and pelvic floor disorders. Handa VL, Cundiff G, Chang HH, Helzlsouer KJ (2008). American Journal of Obstetrics and Gynecology 111(5): 1045-52. [Link]

4. Single nucleotide polymorphisms in inflammation-related genes and mortality in a community-based cohort in Washington County, MarylandGallicchio L, Chang HH, Christo D, Huang H, Strickland P, Ruczinski I, Hoffman SC, and Helzlsouer K (2008). American Journal of Epidemiology. 167(7): 807-13. [Link]

3. Designing environmental monitoring networks to measure extremesChang H, Fu A, Le ND, and Zidek, JV (2006).  Environmental and Ecological Statistics. 14(3): 201-21. [Link]

2. A common locus for late-onset Fuchs corneal dystrophy maps to 18q21.2-q21.32Sundin OH, Broman KW, Chang HH, Vito EC, Stark WJ, and Gottsch JD (2006).  Invest Ophthalmol Vis Sci 47(9):3919-26. [Link]

1. An Ustilago maydis septin is required for filamentous growth in culture and for full symptom development on maizeAn Boyce KJ, Chang H, Kronstad JW (2005).  Eukaryot Cell 4(12):2044-56. [Link]