Walter Dempsey
- Email Walter Dempsey
- (734)936-0039
- CV (PDF)
BIO
Walter Dempsey is an Assistant Professor of Biostatistics and Assistant Research 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.
- 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
- Inbal Nahum-Shani, Dziak, John J., Venera, Hanna, Pfammatter, Angela F., Spring, Bonnie, Walter Dempsey. 2023. Design of experiments with sequential randomizations on multiple timescales: the hybrid experimental design. Behavior Research Methods
- Walter Dempsey. 2023. Statistical paradoxes in coronavirus case-counts: selection bias, measurement error, and the COVID-19 pandemic. Annals of Applied Statistics.
- John J. Dziak, Daniel Almirall, Walter Dempsey, Catherine Stanger, Inbal Nahum-Shani. 2023. SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements. Multivariate Behavioral Research
- 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.
- 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.
- V. Swetha Jeganathan, Jessica R. Golbus, Kashvi Gupta, Evan Luff, Dempsey,Walter, Thomas Boyden, Melvyn Rubenfire, Brahmar Mukherjee, Predrag Klasnja, Sachin Kheterpa, Brahmajee K. Nallamothu. 2022. Virtual AppLication-Supported Environment to INcrease Exercise During Cardiac Rehabilitation Study (VALENTINE) Study: Rationale and Design. American Heart Journal 248:53-62.
- Adam Horwitz, Ewa Cryz, Nadia Al-Dajani, Dempsey,Walter, Zhuo Zhao, Nahum-Shani,Inbal, Srijan Sen. 2022. Utilizing daily mood diaries and wearable sensor data to predict depression and suicidal ideation among medical interns. Journal of Affective Disorders 313:1-7.