2021年西安统计与数据科学论坛第十五场报告
讲座题目:Testing missing at random or not with score tests
讲座时间:2021年11月3日,星期三,上午10:00-12:00
腾讯会议 ID:889 7855 9926
腾讯会议密码:123456
讲座人:刘玉坤教授,华东师范大学统计学院
讲座简介:
Missing data are frequently encountered in various disciplines and can be divided into three categories: missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR). Valid statistical approaches to missing data depend crucially on correct identification of the underlying missingness mechanism. Although the problem of testing whether this mechanism is MCAR or MAR has been extensively studied, there has been very little research on testing MAR versus MNAR. A critical challenge that is faced when dealing with this problem is the issue of model identification under MNAR. In this paper, under a logistic model for the missing probability, we develop two score tests for the problem of whether the missingness mechanism is MAR or MNAR under a parametric model and a semiparametric location model on the regression function. The score tests require only parameter estimation under the null MAR assumption, which completely circumvents the identification issue. Our simulations and analysis of human immunodeficiency virus data show that the score tests have well-controlled type I errors and desirable powers.
讲座人简介:
刘玉坤,华东师范大学统计学院教授,博士生导师,统计交叉科学研究院副院长,入选国家高层次青年人才计划。本科和博士毕业于南开大学统计系。研究兴趣包括经验似然和半参数统计理论,及其在缺失数据、偏差数据、生态学、流行病学等方面的应用。主持国家自然科学基金项目4项,参与重点项目2项;在国内外重要统计期刊发表多篇科研论文。担任中国数学会概率统计学会会刊《应用概率统计》编委和责任编辑、中国科技期刊卓越行动计划高新起点期刊《Statistical Theory and Related Fields》主编助理、以及SCI统计期刊《Journal of Applied Statistics》编委。
组织者:
李润泽 美国宾州州立大学统计系冠名讲座教授
孟德宇 gg999策略手机白菜教授
赵熙乐 电子科技大学教授
姜丹丹 gg999策略手机白菜教授
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会议时间:2021/10/19-2021/11/30 10:00-12:00(GMT+08:00) 中国标准时间 - 北京, 每周二、周三
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会议 ID:889 7855 9926
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