Rate My Professor Jimmy Zeng

Zeng's research specializations encompass longitudinal data analysis, multi-model inference, model selection, model averaging, and causal inference, primarily applied to epidemiology, public health, and clinical research. His scholarly contributions include co-authoring peer-reviewed articles that address key challenges in these areas. Notable publications are Perez, T. M., et al. (2025), 'Infraslow closed-loop brain training for anxiety and depression (ISAD): A pilot randomised, sham-controlled trial in adult females with internalizing disorders,' in Cognitive, Affective & Behavioral Neuroscience; Law, C., et al. (2025), 'Reliability and validity of the Brief Pain Inventory-Short Form in individuals with rotator cuff-related shoulder pain,' in Disability & Rehabilitation; Wang, S., et al. (2024), 'The immediate effects of mobilization with movement on shoulder range of motion and pain in patients with rotator cuff-related shoulder pain,' in Brazilian Journal of Physical Therapy; and Leitch, S., et al. (2024), 'Avoiding anti-inflammatories: A randomised controlled trial testing the effect of an eHealth information package on primary healthcare patient medication knowledge and behaviour in Aotearoa New Zealand,' in BMJ Open. Earlier works include Zeng, J. (2019), 'Studentized bootstrap model-averaged tail area intervals,' in PLOS One, and contributions to studies on smoking transitions and medication risk management. Zeng's expertise supports interdisciplinary health research at the University of Otago.