chenhao
Research Associate
陈昊，中共党员，统计学博士，助理研究员，入选山东大学青年学者未来计划、山东省青年科技人才托举工程，获北京大学博雅博士后称号（合作导师：周晓华教授），博士后出站后加入山东大学公共卫生学院生物统计系，主要研究方向为：高维数据统计分析、网络数据统计方法、多组学数据整合分析及因果推断方法。主持国家自然科学基金、博士后面上基金等，参与国家重点研发计划项目（骨干成员）、国家自然科学基金重点项目两项。近五年，以第一/通讯身份在统计学及生物统计学等期刊中公开发... More+
Paper Publications
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[1] 侯蕾. MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets. 自然通讯, 16, 2025.
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[2] 陈昊. COOPERATIVE DIFFERENTIAL NETWORK LEARNING WITH HUB DETECTION FOR MULTICENTER NEUROIMAGING DATA. Annals of Applied Statistics, 19, 1578-1602, 2025.
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[3] Cooperative differential network learning with hub detection for multicenter neuroimaging data. Annals of Applied Statistics, 19, 1578-1602, 2025.
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[4] 季加东. Differential network knockoff filter with application to brain connectivity analysis. STATISTICS IN MEDICINE, 2024.
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[5] He, Xu. The impact of environmental tax laws on heavy-polluting enterprise ESG performance: A stakeholder behavior perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT , 344, 2023.
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[6] Hao Chen. A Machine Learning Method for Identifying Critical Interactions Between Gene Pairs in Alzheimer's Disease Prediction. Frontiers in Neurology, 10, 1162,
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[7] Hao Chen. High-dimensional integrative copula discriminant analysis for multi-omics data. Statistics in Medicine, 39, 4869-4884,
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[8] Hao Chen. Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with Application to Brain Connectivity. Biostatistics, 23, 967-989,