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Kulnik, S.T., Carrozzo, A.E. & Crutzen, R. (2025):
Persistent carry-over in a two-period randomised crossover design for behavioural interventions without the expectation of return to baseline after intervention cessation.
In: Trials 26, 561 (2025).
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Carrozzo, A.E., Zimmermann, G., Bathke, A.C., Neunhaeuserer, D., Niebauer, J. and Kulnik, S.T. (2025):
Two-Arm Crossover Randomized Controlled Trial Versus Meta-Analysis of N-of-1 Studies: Comparison of Statistical Efficiency in Determining an Intervention Effect.
In: Biometrical Journal 2025; 67: e70045.
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Leysen, D., Reich, B., Carrozzo, E., Crutzen, R., Grote, V., Kumar, D., ... & Kulnik, S. T. (2025):
Feasibility of a randomised controlled trial of the aktivplan digital intervention for regular physical activity following phase II rehabilitation: the ACTIVE-CaRe Pilot study.
In: European Heart Journal, 46(Supplement_1).
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Leysen, D., Reich, B., Carrozzo, A. E., Crutzen, R., Grote, V., Kumar, D., Mayr, B., Niebauer, J., Pfannerstill, F., Propst, E. M., Wurhofer, D., Sareban, M., Smeddinck, J. D., Treff, G., & Kulnik, S. T. (2025):
Feasibility of the aktivplan Digital Health Intervention for Regular Physical Activity Following Phase II Rehabilitation: Protocol for a Mixed Method Randomized Controlled Pilot Study (ACTIVE-CaRe Pilot).
In: JMIR research protocols, 14, e73704.
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David Haag, Devender Kumar, Sebastian Gruber, Dominik P. Hofer, Mahdi Sareban, Gunnar Treff, Josef Niebauer, Christopher N Bull, Albrecht Schmidt, and Jan David Smeddinck (2025):
The Last JITAI? Exploring Large Language Models for Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Prospective Cardiac Rehabilitation Setting.
In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 644, 1–18.
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Kulnik, S. T., Salbrechter, S., Radwanovsky, S., Garstenauer, U., Ebner, M., Fuhrmeister, T., Stainer-Hochgatterer, A., Wurhofer, D., & Roth, M. (2025):
Ganz Salzburg bewegen [All of Salzburg Moving]: a large-scale public involvement project with underserved groups, for the co-design of local and contextualized physical activity promotion concepts.
In: Research involvement and engagement, 11(1), 92.
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Haochen Song, Dominik Hofer, Rania Islambouli, Laura Hawkins, Ananya Bhattacharjee, Meredith Franklin, and Joseph Jay Williams. (2025):
Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models.
In: Proceedings of KDD 2025 3rd Workshop on Causal Inference and Machine Learning in Practice. ACM, New York, NY, USA, 7 pages.
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Kulnik ST, Leysen D, Pfannerstill F. (2025):
Unwanted bias or promising intervention effect? Dealing with measurement reactivity in controlled trials of physical activity interventions.
In: Eur J Cardiovasc Nurs. 2025;24(7):1050-1051.