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IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity.

, , , , , , and . AAAI, page 15634-15643. AAAI Press, (2024)

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IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity., , , , , , and . AAAI, page 15634-15643. AAAI Press, (2024)Unifying the spatial population dynamics and molecular evolution of epidemic rabies virus, , , , , , , , , and . PNAS, 102 (34): 12107-­12111 (2005)8 Hierarchical and empirical bayes methods for environmental risk assessment., , and . Bioenvironmental and public health statistics, volume 18 of Handbook of statistics, North-Holland, (2000)Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections., , , , , , , , , and 7 other author(s). PLoS Comput. Biol., 18 (9): 1010575 (September 2022)Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping, , , and . Journal of Statistical Planning and Inference, 75 (2): 305--318 (Jan 1, 1999)Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach, , , , , , and . Environmental Science & Technology, 51 (12): 6936-6944 (2017)Estimating ground-level PM2. 5 concentrations in the southeastern US using geographically weighted regression, , , , , , , , and . Environmental Research, (2013)A method for detection of residual confounding in time-series and other observational studies., , , , , , , , and . Epidemiology (Cambridge, Mass.), 22 (1): 59-67 (January 2011)6261<m:linebreak></m:linebreak>GR: R01ES11294/ES/NIEHS NIH HHS/United States; JID: 9009644; 10028-15-6 (Ozone); ppublish;.Bridging gaps between statistical and mathematical modeling in ecology. Ecology, 91 (12): 3500--3502 (2010)The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures., , , , , , , , , and 4 other author(s). PLoS Comput. Biol., (2020)