Jennifer Bobb, PhD, aims to apply rigorous statistical methods to address important problems in public health. She is interested in statistical issues that occur when data that were not originally collected for research purposes, such as administrative claims data or electronic health records, are used for addressing scientific questions relevant to clinical practice and health policy.
At Kaiser Permanente Washington Health Research Institute (KPWHRI), Dr. Bobb collaborates with scientists across a broad range of research areas, including mental and behavioral health and social determinants of health. As an investigator with the Health Care Systems Addictions Research Network, she provides statistical leadership on pragmatic clinical trials at Kaiser Permanente Washington and other health systems. She is the lead statistician on a stepped wedge trial evaluating how mental health and wellness integration at Kaiser Permanente Washington affects clinical care and health outcomes, as well as a multi-site pragmatic trial to evaluate a program for increasing medication treatment for opioid use disorders within primary care settings. She has developed statistical guidance to address methodological challenges introduced by pragmatic trials that leverage electronic health records data to define study eligibility and outcomes.
With expertise in environmental biostatistics, Dr. Bobb has led large-scale epidemiological investigations on the health effects of exposure to extreme heat and air pollution. She developed flexible modeling approaches for estimating the health effects of multi-pollutant mixtures that broadly apply to settings where large numbers of exposures may interact or have complex relationships with health, along with publicly available software implementing these methods. In recent work, she is collaborating on the Moving to Health study, which explores whether changes in the built environment, such as access to healthy foods and walkability, affect long-term weight and diabetes management.
Dr. Bobb is an affiliate assistant professor in biostatistics at the University of Washington and an associate editor of the journal Biostatistics. She serves on the Committee for Funded Research of the American Statistical Association and is a member of the International Biometric Society. Before joining KPWHRI, Dr. Bobb completed her PhD in biostatistics at the Johns Hopkins Bloomberg School of Public Health in 2012, followed by a postdoctoral fellowship at the Harvard T.H. Chan School of Public Health.
Bayesian methods; analysis of observational data; pragmatic trial design and analysis; analysis of spatial-temporal data
Biostatistics; implementation science
Biostatistics; behavioral health; alcohol and substance use disorders
Biostatistics; built environment
Health effects of air pollution, extreme weather events; statistical methods for complex environmental mixtures
Prevention and treatment
Bobb JF, Dominici F, Peng RD. Reduced hierarchical models with application to estimating health effects of simultaneous exposure to multiple pollutants. J R Stat Soc Ser C Appl Stat. 2013;62(3). doi: 10.1111/rssc.12006. PubMed
James BD, Glass TA, Caffo B, Bobb JF, Davatzikos C, Yousem D, Schwartz BS. Association of social engagement with brain volumes assessed by structural MRI. J Aging Res. 2012;2012:512714. Epub 2012 Sep 11. PubMed
Bobb JF, Dominici F, Peng RD. A bayesian model averaging approach for estimating the relative risk of mortality associated with heat waves in 105 u.s. cities. Biometrics. 2011;67(4):1605-16. doi: 10.1111/j.1541-0420.2011.01583.x. Epub 2011 Mar 29. PubMed
Peng RD, Bobb JF, Tebaldi C, McDaniel L, Bell ML, Dominici F. Toward a quantitative estimate of future heat wave mortality under global climate change. Environ Health Perspect. 2011;119(5):701-6. doi: 10.1289/ehp.1002430. Epub 2010 Dec 30. PubMed
Bobb JF, Scharfstein DO, Daniels MJ, Collins FS, Kelada S. Multiple imputation of missing phenotype data for qtl mapping. Stat Appl Genet Mol Biol. 2011;10(1):Article 29. PubMed
Cruz M, Drewnowski A, Bobb JF, Hurvitz PM, Moudon AV, Cook A, Mooney SJ, Buszkiewicz JH, Lozano P, Rosenberg DE, Kapos F, Theis MK, Anau J, Arterburn D. Differences in weight gain following residential relocation in the Moving to Health (M2H) study. Epidemiology. 2022 May 20. doi: 10.1097/EDE.0000000000001505. Online ahead of print. PubMed
A new study finds that moving from low- to high-density neighborhoods might be related to reductions in weight gain.
Study shows patients will usually answer a question about firearm access, providing key information for suicide prevention.
New research suggests fast food and other aspects of built environments don’t affect weight, contrary to earlier findings.
UW/KPWHRI research team confers with King County organizations at its "Moving to Health" Summit, sparking new collaborations.