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
Williams EC, Bobb JF, Lee AK, Ludman EJ, Richards JE, Hawkins EJ, Merrill JO, Saxon AJ, Lapham GT, Matson TE, Caldeiro R, Greenberg DM, Kivlahan DR, Bradley KA. Effect of a care management intervention on 12-month drinking outcomes among patients with and without DSM-IV alcohol dependence at baseline. J Gen Intern Med. 2019 Aug 20. doi: 10.1007/s11606-019-05261-7. [Epub ahead of print]. PubMed
Richards JE, Bobb JF, Lee AK, Lapham GT, Williams EC, Glass JE, Ludman EJ, Achtmeyer C, Caldeiro RM, Oliver M, Bradley KA. Integration of screening, assessment, and treatment for cannabis and other drug use disorders in primary care: an evaluation in three pilot sites. Drug Alcohol Depend. 2019 Aug 1;201:134-141. doi: 10.1016/j.drugalcdep.2019.04.015. Epub 2019 Jun 8. PubMed
Pettigrew SM, Pan WK, Berky A, Harrington J, Bobb JF, Feingold BJ. In urban, but not rural, areas of Madre de Dios, Peru, adoption of a Western diet is inversely associated with selenium intake. Sci Total Environ. 2019;687:1046-1054. doi: 10.1016/j.scitotenv.2019.05.484. Epub 2019 Jun 2. PubMed
Nelson JC, Ulloa-Pe'rez E, Bobb JF, Maro JC. Leveraging the entire cohort in drug safety monitoring: part 1: methods for sequential surveillance that use regression adjustment or weighting to control confounding in a multi-site, rare event, distributed data setting. J Clin Epidemiol. 2019 May 17. pii: S0895-4356(17)30857-0. doi: 10.1016/j.jclinepi.2019.04.012. [Epub ahead of print]. PubMed
Domingo-Relloso A, Grau-Perez M, Briongos-Figuero L, Gomez-Ariza JL, Garcia-Barrera T, Dueñas-Laita A, Bobb JF, Chaves FJ, Kioumourtzoglou MA, Navas-Acien A, Redon-Mas J, Martin-Escudero JC, Tellez-Plaza M. The association of urine metals and metal mixtures with cardiovascular incidence in an adult population from Spain: the Hortega Follow-Up Study. Int J Epidemiol. 2019 Dec 1;48(6):1839-1849. doi: 10.1093/ije/dyz06. PubMed
Williams EC, McGinnis KA, Tate JP, Matson TE, Rubinsky AD, Bobb JF, Lapham GT, Edelman EJ, Catz SL, Satre DD, Bryant KJ, Marshall BDL, Kraemer KL, Bensley KM, Richards JE, Skanderson M, Justice AC, Fiellin DA, Bradley KA. HIV disease severity is sensitive to temporal changes in alcohol use: a national study of VA patients with HIV. J Acquir Immune Defic Syndr. 2019 Apr 6. doi: 10.1097/QAI.0000000000002049. [Epub 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.