编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
带协变量缺失的高维线性回归 |
江自豪 | 西南财经大学 |
Contributed Talk | Zihao Jiang | Southwestern University of Finance and Economics | |||
2 | 13:50-14:10 | 贡献报告 |
Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes |
胡 睿 | 深圳技术大学 |
Contributed Talk |
Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes |
Rui Hu | Shenzhen Technology University | ||
3 | 14:10-14:30 | 贡献报告 |
基于缺失患者报告结局数据的亚组治疗效应检测 |
邓燊然 | 中国人民大学 |
Contributed Talk | Shenran Deng | Renmin University of China | |||
4 | 14:30-14:50 | 贡献报告 |
Transition and dynamic reconfiguration in late-life depression based on hidden Markov model |
肖海蓉 | 湖南师范大学 |
Contributed Talk |
Transition and dynamic reconfiguration in late-life depression based on hidden Markov model |
Hairong Xiao | Hunan Normal University | ||
5 | 14:50-15:10 | 贡献报告 |
Assessing Global Border Controls as Responses to Pandemic Using Real-World Data and Target Trial Emulation |
李之垚 | 中山大学公共卫生学院医学统计学系 |
Contributed Talk |
Assessing Global Border Controls as Responses to Pandemic Using Real-World Data and Target Trial Emulation |
Zhiyao Li | Department of medical statistics, School of Public Health, Sun Yat-sen University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
A Modified Normalized Power Prior Approach for Bayesian Adaptive Borrowing in Item Response Theory Models |
张 强 | 中央财经大学 |
Contributed Talk |
A Modified Normalized Power Prior Approach for Bayesian Adaptive Borrowing in Item Response Theory Models |
Qiang Zhang | Central University of Finance and Economics | ||
2 | 15:50-16:10 | 贡献报告 |
Data-Adaptive Transformation Screening with FDR Control for Structural Sparsity Problems: Applications to Brain MRI Analysis |
苏 瀚 | 北京师范大学 |
Contributed Talk |
Data-Adaptive Transformation Screening with FDR Control for Structural Sparsity Problems: Applications to Brain MRI Analysis |
Han Su | Beijing Normal University | ||
3 | 16:10-16:30 | 贡献报告 |
Structure Identification and Learning for Ultra-High-Dimensional Generalized Partially Linear Spatially Varying Coefficient Models |
张园园 | 苏州大学 |
Contributed Talk |
Structure Identification and Learning for Ultra-High-Dimensional Generalized Partially Linear Spatially Varying Coefficient Models |
Yuanyuan Zhang | Soochow University | ||
4 | 16:30-16:50 | 贡献报告 |
Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings |
Yan Dora Zhang | The University of Hong Kong |
Contributed Talk |
Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings |
Yan Dora Zhang | The University of Hong Kong | ||
5 | 16:50-17:10 | 贡献报告 |
Bayesian empirical likelihood procedure for evaluating racial disproportionality of policing Stop & Search in London |
李一静 | King's College London |
Contributed Talk |
Bayesian empirical likelihood procedure for evaluating racial disproportionality of policing Stop & Search in London |
Yijing Li | King's College London |