第三届全国统计与数据科学联合会议

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2025-07-11 星期五

至诚室 Zhicheng Room

13:30-15:10 | IS053: Novel methods for large-scale genetic and health data analysis IS053: Novel methods for large-scale genetic and health data analysis

组织者：

王健桥清华大学

Organizer：

Jianqiao Wang Tsinghua University

主持人：

王健桥清华大学

Chair：

Jianqiao Wang Tsinghua University

编号	时间	类型	题目	讲者	单位
1	13:30-13:50	邀请报告	Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating	马诗洋	上海交通大学
		Invited Talk	Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating	Shiyang Ma	Shanghai Jiao Tong University
2	13:50-14:10	邀请报告	MultiSTAAR: a powerful multi-trait rare variant analysis framework for biobank sequencing data	李子林	Northeast Normal University
		Invited Talk	MultiSTAAR: a powerful multi-trait rare variant analysis framework for biobank sequencing data	Zilin Li	Northeast Normal University
3	14:10-14:30	邀请报告	Individualized dynamic latent factor model with application in mobile health data	Fei Xue	Purdue University
		Invited Talk	Individualized dynamic latent factor model with application in mobile health data	Fei Xue	Purdue University
4	14:30-14:50	邀请报告	Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction	Zhonghua Liu	Columbia University
		Invited Talk	Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction	Zhonghua Liu	Columbia University
5	14:50-15:10	邀请报告	Heritability estimation with similarity representation	王健桥	清华大学
		Invited Talk	Heritability estimation with similarity representation	Jianqiao Wang	Tsinghua University

15:30-17:10 | CS008: Advances in Causal Inference for Fair and Robust Decision Making CS008: Advances in Causal Inference for Fair and Robust Decision Making

编号	时间	类型	题目	讲者	单位
1	15:30-15:50	贡献报告	A causal framework for assessing and achieving fairness	张　平	北京大学
		Contributed Talk	A causal framework for assessing and achieving fairness	Ping Zhang	Peking University
2	15:50-16:10	贡献报告	Individualized Inference for Causal Fairness through Conformal Mediation Analysis	余　成	清华大学
		Contributed Talk	Individualized Inference for Causal Fairness through Conformal Mediation Analysis	Cheng Yu	Tsinghua University
3	16:10-16:30	贡献报告	Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation	钟齐先	厦门大学
		Contributed Talk	Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation	Qixian Zhong	Xiamen University
4	16:30-16:50	贡献报告	Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding	裘知欣	华东师范大学
		Contributed Talk	Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding	Zhixin Qiu	East China Normal University
5	16:50-17:10	贡献报告	Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment	卢　鑫	清华大学
		Contributed Talk	Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment	Xin Lu	Tsinghua University

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2025-07-11 星期五

至诚室 Zhicheng Room

第三届全国统计与数据科学联合会议 版权所有

第三届全国统计与数据科学联合会议版权所有