Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children. - Ahn, Sun Joo Grace; Schmidt, Michael D.; Tate, Allan D.; Rathbun, Stephen L.; Annesi, James J.; Hahn, Lindsay S.; Novotny, Eric; Okitondo, Christian D.; Grimsley, Rebecca N.; Johnsen, Kyle (npj Digit. Medicine, 2024)

Mediating social support through sensor-based technologies for children's health behavior change. - Baldwin, Joshua; Lee, Joomi; Tate, Allan D.; Okitondo, Christian D.; Johnsen, Kyle; Schmidt, Michael D.; Rathbun, Stephen L.; Novotny, Eric; Ahn, Sun Joo (Grace) (J. Comput. Mediat. Commun., 2023)

Continual Causal Inference with Incremental Observational Data. - Chu, Zhixuan; Li, Ruopeng; Rathbun, Stephen L.; Li, Sheng (2023)

Estimating Propensity Scores with Deep Adaptive Variable Selection. - Chu, Zhixuan; Claridy, Mechelle; Cordero, José; Li, Sheng; Rathbun, Stephen L. (2023)

Continual Causal Inference with Incremental Observational Data. - Chu, Zhixuan; Li, Ruopeng; Rathbun, Stephen L.; Li, Sheng (CoRR, 2023)

Scaling the Virtual Fitness Buddy Ecosystem as a School-Based Physical Activity Intervention for Children. - Ball, Catherine; Novotny, Eric; Ahn, Sun Joo Grace; Hahn, Lindsay S.; Schmidt, Michael D.; Rathbun, Stephen L.; Johnsen, Kyle; Potel, Mike (IEEE Computer Graphics and Applications, 2022)

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (2022)

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (2022)

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (CoRR, 2022)

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (CoRR, 2022)

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (2021)

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (CoRR, 2021)

Using Virtual Agents and Activity Monitors to Autonomously Track and Assess Self-Determined Physical Activity Among Young Children: A 6-Week Feasibility Field Study. - Hahn, Lindsay S.; Rathbun, Stephen L.; Schmidt, Michael D.; Johnsen, Kyle; Annesi, James J.; Ahn, Sun Joo (Grace) (Cyberpsychology Behav. Soc. Netw., 2020)

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (2020)

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. - Chu, Zhixuan; Rathbun, Stephen L.; Li, Sheng (CoRR, 2020)

Applications of geographic information systems and geo-spatial modeling in environmental epidemiology. - Vena, John E.; Wagner, Sara E.; Rathbun, Stephen L. (2013)

Geoinformatics of Hotspot Detection and Prioritization for Digital Governance. - Patil, Ganapati P.; Acharya, Raj; Glasmeier, Amy; Myers, Wayne; Phoha, Shashi; Rathbun, Stephen L. (2008)

Upper level set scan statistic system for detecting arbitrarily shaped hotspots for digital governance. - Patil, Ganapati P.; Rathbun, Stephen L.; Acharya, Raj; Patankar, Pushkar; Modarres, Reza (2005)

Geoinformatic surveillance of hotspot detection, prioritization and early warning. - Patil, Ganapati P.; Rathbun, Stephen L.; Acharya, Raj; Patankar, Pushkar; Modarres, Reza (2005)