Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Prevalence of toothache in Chinese adults aged 65 years and above
Published in Community Dentistry and Oral Epidemiology, 2021
This study investigated the prevalence of toothache and its risk indicators in the older Chinese population. Analysis of national cross-sectional survey data on 25,048 Chinese people aged 65 years and older from 2011, 2014, and 2018 survey years was performed.
Recommended citation: Wan S, Tao L, Liu M, Liu J. (2021). "Prevalence of toothache in Chinese adults aged 65 years and above." Community Dentistry and Oral Epidemiology. 49(6):522-532.
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Greenspace and mortality in the U.K. Biobank: Longitudinal cohort analysis of socio-economic, environmental, and biomarker pathways
Published in SSM - Population Health, 2022
Exposure to natural greenspace benefits health through direct and indirect pathways: increasing physical activity, improving mental health, relieving social isolation, reducing exposure to extreme temperature, noise, and air pollution. This study used large cohort follow-up data from the U.K. Biobank to quantify the magnitude of behavioral factors, psychological factors, biomarkers/physiological measurements, co-morbid diseases, and environmental exposure as potential mediators in the relationship between greenspace and mortality.
Recommended citation: Wan S, Rojas-Rueda D, Pretty J, Roscoe C, James P, Ji JS. (2022). "Greenspace and mortality in the U.K. Biobank: Longitudinal cohort analysis of socio-economic, environmental, and biomarker pathways." SSM - Population Health. 19:101194.
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Effectiveness of influenza vaccination on in-hospital death in older adults with respiratory diseases
Published in Human Vaccines & Immunotherapeutics, 2022
This study examined the effectiveness of influenza vaccination on reducing in-hospital mortality among older adults with respiratory diseases.
Recommended citation: Zhang R, Pang Y, Wan S, Lu M, Lv M, Wu J, Huang Y. (2022). "Effectiveness of influenza vaccination on in-hospital death in older adults with respiratory diseases." Human Vaccines & Immunotherapeutics. 18(6):2117967.
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A deep neural network two-part model and feature importance test for semi-continuous data
Published in Annals of Applied Statistics, 2025
This paper addresses the challenge of modeling semi-continuous data where some subjects experience varying degrees of outcomes while others experience none, indicating two distinct data processes. We derive a DNN-based two-part model by adding a bootstrapping procedure along with a filtering algorithm to boost the stability of conventional DNN (sDNN). To improve interpretability, we further derive a feature importance testing procedure to identify important features contributing to the outcome measurements of the two data processes (fsDNN).
Recommended citation: Zou B, Mi X, Wan S, Wu D, Xenakis JG, Hu J, Zou F. (2025). "A deep neural network two-part model and feature importance test for semi-continuous data." Annals of Applied Statistics. 19(2).
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An interpretable deep learning framework for biomarker discovery in complex disease survival outcomes
Published in bioRxiv, 2025
Identification of important biomarkers associated with complex disease survival outcomes is fundamental for gaining an in-depth understanding of disease mechanisms and advancing precision medicine. We propose SurvDNN, an enhanced deep neural network framework specifically designed for survival outcomes modeling. SurvDNN incorporates a bootstrapping-based regularization strategy to mitigate overfitting and a novel stability-driven filtering algorithm to improve model robustness. To enable interpretable biomarker discovery, we extend the Permutation-based Feature Importance Test (PermFIT) to survival settings.
Recommended citation: Wan S, Mi X, Zou F, Zou B. (2025). "An interpretable deep learning framework for biomarker discovery in complex disease survival outcomes." bioRxiv. 2025.09.30.679415.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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