教授
单位：清华大学丘成桐数学科学中心
办公地点：宁斋S01
电子邮箱：yangfan1987@tsinghua.edu.cn
因果分析，数据缺失
2005-2009 学士 浙江大学
2009-2014 博士 宾夕法尼亚大学
2022至今 教授 清华大学丘成桐数学科学中心
2021-2022 副教授 科罗拉多大学安舒茨医学校区生物统计系
2017-2021 助理教授 科罗拉多大学安舒茨医学校区生物统计系
2014-2017 助理教授 芝加哥大学公共卫生科学系
2013年 美国统计学会流行病学统计学分会青年研究者奖
2014年 美国统计学会卫生政策统计分会学生论文竞赛奖
Yang, F., Lorch, S. A., and Small, D. S. (2014). ``Estimation of causal effects using instrumental variables with nonignorable missing covariates: Application to effect of type of delivery hospital on premature infants.'' Annals of Applied Statistics, Volume 8, Number 1, pp. 48-73.
Yang, F., Zubizarreta, J., Small, D. S., Lorch, S. A., and Rosenbaum, P. (2014). ``Dissonant conclusions when testing the validity of an instrumental variable." The American Statistician, Volume 68, Issue 4, pp. 253-263.
Yang, F. and Small, D. S. (2016). ``Using post-outcome measurement information in censoring-by-death problems." Journal of the Royal Statistical Society, Series B, Volume 78, Number 1, pp. 299-318.
Yang, F., Wang, J., the GTEx Consortium, Pierce, B. L, and Chen, L. S. (2017). ``Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis." Genome Research, Volume 27, pp. 1859-1871.
Yang, F. and Ding, P. (2018). ``Using survival information in truncation by death problems without the monotonicity assumption.'' Biometrics, Volume 74, Issue 4, pp. 1232-1239.
Gleason, K. J. #, Yang, F. #, Pierce, B. L., He, X., and Chen, L. S. (2020). ``Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits.'' Genome Biology, Volume 21, 236.
Gleason, K. J., Yang, F. *, and Chen, L. S. * (2021). ``A robust two-sample transcriptome-wide Mendelian Randomization method integrating GWAS with multi-tissue eQTL summary statistics.'' Genetic Epidemiology, Volume 45, Issue 4, pp. 353-371.
Yang, F. *, Gleason, K. J., Wang, J., The GTEx Consortium, Duan, J., He, X, Pierce, B. L., and Chen, L. S. * (2021). ``CCmed: cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression.'' Bioinformatics, Volume 37, Number 17, pp. 2513-2520.
Hong, G. #, Yang, F. #, Qin, X. (2022). ``Post-treatment confounding in causal mediation studies: A cutting-edge problem and a novel solution via sensitivity analysis.'' Biometrics, https://doi.org/10.1111/biom.13705.
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