Walter Dempsey
- Email Walter Dempsey
- (734)936-0039
- CV (PDF)
BIO
Walter Dempsey is an Associate Professor of Biostatistics and Research Associate Professor at the Institute for Social Research. His research focuses on statistical methods for digital and mobile health. His current work involves three complementary research themes: (1) experimental design and data analytic methods to inform multi-stage decision making in health; (2) statistical modeling of complex longitudinal and survival data; and (3) statistical modeling of complex relational structures such as interaction networks. In the coming years, he will continue to design and apply novel statistical methodologies to make sense of complex longitudinal, survival, and relational datasets. This work will inform decision making in health by aiding in intervention evaluation and development. Prior to joining, he was a postdoctoral fellow in the Department of Statistics at Harvard University where he worked within the Statistical Reinforcement Learning Lab under the supervision of Susan Murphy. He received his PhD in Statistics at the University of Chicago under the supervision of Peter McCullagh.
- Inbal Nahum-Shani, Dziak, John J., Venera, Hanna, Pfammatter, Angela F., Spring, Bonnie, Walter Dempsey. 2024. Design of experiments with sequential randomizations on multiple timescales: the hybrid experimental design. Behavior Research Methods 56:1770–1792.
- John J. Dziak, Daniel Almirall, Walter Dempsey, Catherine Stanger, Inbal Nahum-Shani. 2024. SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements. Multivariate Behavioral Research 59(1):1-16.
- Madeline R. Abbott, Inbal Nahum-Shani, Cho Y. Lam, Lindsey N. Potter, David W. Wetter, Walter Dempsey. 2024. A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two-stage method. Statistics in Medicine
- Wang, Jitao, Fang, Yu, Frank, Elena, Walton, Maureen A., Burmeister, Margit, Tewari, Ambuj, Walter Dempsey, NeCamp, Timothy, Sen, Srijan, Wu, Zhenke. 2023. Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. npj Digital Medicine 6:4.
- Potter, Lindsey N., Jamie Roslyn Yap, Walter Dempsey, Wetter, David W., Inbal Nahum-Shani. 2023. Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations. Prevention Science 24:1659-1671.
- Walter Dempsey. 2023. Statistical paradoxes in coronavirus case-counts: selection bias, measurement error, and the COVID-19 pandemic. Annals of Applied Statistics.
- Sonali Mishra, Walter Dempsey, Predrag Klasnja. 2023. A Text Messaging Intervention for Priming the Affective Rewards of Exercise in Adults: Protocol for a Microrandomized Trial. JMIR Research Protocols 12(1):e46560.
- Golbus, Jessica R., Gupta, Kashvi, Stevens, Rachel, Jeganathan, V.Swetha E., Luff, Evan, Shi, Jieru, Walter Dempsey, Boyden, Thomas, Mukherjee, Bhramar, Kohnstamm, Sarah, Taralunga, Vlad, Kheterpal, Vik, Murphy, Susan, Klasnja, Predrag, Kheterpal, Sachin, Nallamothu, Brahmajee K.. 2023. A randomized trial of a mobile health intervention to augment cardiac rehabilitation. npj Digital Medicine 6(1):1-8.
- Jessica R. Golbus, Jieru Shi, Kashvi Gupta, Rachel Stevens, V.Swetha E. Jeganathan, Evan Luff, Thomas Boyden, Bhramar Mukherjee, Sarah Kohnstamm, Vlad Taralunga, Vik Kheterpal, Sachin Kheterpal, Kenneth Resnicow, Susan Murphy, Walter Dempsey, Predrag Klasnja, Brahmajee K. Nallamothu. 2023. Text Messages to Promote Physical Activity in Patients With Cardiovascular Disease: A Micro-Randomized Trial of a Just-In-Time Adaptive Intervention. Circulation: Cardiovascular Quality and Outcomes
- Jiacong Du, Lauren J Beesley, Seunggeun Lee, Xiang Zhou, Dempsey,Walter, Bhramar Mukherjee. 2022. Optimal diagnostic test allocation strategy during the COVID-19 pandemic and beyond. Statistics in Medicine 41(2):310-327.