赌博网站推荐学术报告[2026]108号

（高水平大学建设系列报告1367号）

报告题目：A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies

报告人：刘耀午 教授（西南财经大学）

报告时间：2026年11月05日16:00 - 17:00

报告地点：汇研楼611会议室

报告摘要：In linear regression models with non-Gaussian errors, transformations of the response variable are widely used in a broad range of applications. Motivated by various genetic association studies, transformation methods for hypothesis testing have received substantial interest. In recent years, the rise of biobank-scale genetic studies, which feature a vast number of participants that could be around half a million, spurred the need for new transformation methods that are both powerful for detecting weak genetic signals and computationally efficient for large-scale data. In this work, we propose a novel transformation method that leverages the information of the error density. This transformation leads to locally most powerful tests and therefore has strong power for detecting weak signals. To make the computation scalable to biobank-scale studies, we harnessed the nature of weak genetic signals and proposed a consistent and computationally efficient estimator of the transformation function. Through extensive simulations and a gene-based analysis of spirometry traits from the UK Biobank, we validate that our approach maintains stringent control over Type I error rates and significantly enhances statistical power over existing methods.

报告人简介：刘耀午，西南财经大学统计赌博网站推荐教授。他的研究兴趣包括大规模假设检验，统计遗传学，健康大数据分析等。相关成果发表于JASA，JRSSB, American Journal of Human Genetics等统计学和遗传学知名期刊，其中关于整合 p值的代表性成果在 Google Scholar 上已获得 1000 余次引用。

邀请人：周彦

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