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Research

Research in the Department of Biostatistics is organized into Working Groups of faculty, postdoctoral fellows and students. Groups meet regularly in a variety of intellectual meeting formats including research-in-progress sessions, journal club, topical seminars and working discussions. These span population modeling methodologies, “big data” methodologies and applications in both statistical genomics and advanced research technologies such as neuroimaging and wearable computing, causal inference, and the department’s major application areas of environmental health and epidemiology and aging. Faculty and students disseminate their work through publications, software, blogs and other avenues. For additional information, please read more about our research areas and visit the websites of each of our Working Groups listed below.

Working Groups
Epidemiology and Biostatistics of Aging Working Group

Epidemiology & Biostatistics of Aging

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Working Groups
Causal Inference Working Group

Causal Inference

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Working Groups
Survival, Longitudinal, and Multivariate Data (SLAM) Working Group

Survival, Longitudinal & Multivariate Data (SLAM)

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Working Groups
Environmental Epidemiology and Biostatistics Working Group

Environmental Epidemiology and Biostatistics

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Working Groups
Genomics Working Group

Genomics

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Working Groups
Statistical Methods and Applications for Research in Technology (SMART) Working Group

Statistical Methods & Applications for Research in Technology (SMART)

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Our research is characterized by a commitment to statistical science, its foundations and methods, and the application of statistical science to the solution of public health and biomedical problems. Research that occurs at the interface of quantitative reasoning and important public health and biomedical questions is particularly potent. We are fortunate to have the opportunity to build our research efforts on the foundation of first-rate biomedical discoveries made here at Johns Hopkins.

Read our unique perspective on biostatistics.