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Biomedical Discovery and Applications
[Neuroimaging data analysis, Diabetes, Kidney exchanges]
(Note: students under my supervision; * corresponding author.)
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High-dimensional varying coefficient models for Alzheimer's disease diagnosis with longitudinal and heterogeneous structural MR images.
Xiaowu Dai*.
Alzheimer's & Dementia (AD), 2018.
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High-dimensional smoothing splines and application in Altheimer's disease prediction using magnetic resonance imaging. [journal][reprint][preprint]
Xiaowu Dai*.
Statistics in Biopharmaceutical Research (SBR), 2020.
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A synthesis of pathways linking diet, metabolic risk and cardiovascular disease: A framework to guide further research and approaches to evidence-based practice. [journal​][reprint][pubmed]
Marjorie Lima do Vale, Luke Buckner, Claudia-Gabriela Mitrofan, Kai Sento Kargbo, Rajna Golubic, Ali Ahsan Khalid, Sammyia Ashraf, Saad Mouti, Xiaowu Dai, David Unwin, Jeffrey Bohn, Lisa Goldberg, and Sumantra Ray.​
Nutrition Research Reviews (NRR), 2022.
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A resampling approach for causal inference on novel two-point time-series with application to identify risk factors for type-2 diabetes and cardiovascular disease. [journal][reprint][preprint][code]
Xiaowu Dai*, Saad Mouti, Marjorie Lima do Vale, Sumantra Ray, Jeffrey Bohn, and Lisa Goldberg.
Statistics in Biosciences (SIBS), 2023.
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A data envelopment analysis approach for assessing fairness in resource allocation: Application to kidney exchange programs. [pdf][code]
Ali Kaazempur-Mofrad, and Xiaowu Dai*.
Preprint, 2024.
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Fairness-aware organ exchange and kidney paired donation. [pdf][code]
Mingrui Zhang, Xiaowu Dai, and Lexin Li.
Preprint, 2024.