学术报告：Regression Analysis of Ordinal Panel Count Data in Recurrent Medication Non-adherence

报告时间：6月19日（星期四）下午14:00-15:00

报告地点：沙河校区，二教109

主持人：张美娟 副教授

报告人：梁宝生，北京大学公共卫生学院，副研究员

报告摘要：Panel count data arise in clinical trials when patients are asked to report their occurrences of events of interest periodically but the exact event times are unknown, only the count of events between two successive examinations are observed. Ordinal panel count data goes even further as the exact event counts are not observed, the only information available is rank of event counts. In this paper, we proposed a semiparametric proportional intensity model to analyze such data. We developed a maximum sieve likelihood estimation using monotone spline under the nonhomogeneous Poisson process model assumption for statistical inference. Simulation studies show that our method performs well with finite sample sizes and is relatively robust to model misspecification. In addition, we compared the proposed method with other competitors and the proposed method outperforms in various settings. Finally, we investigated the recurrence of medication non-adherence in a clinical trial on non-psychotic major depressive disorder using the proposed method. This is a collaborative work with my master student Mr. Jiangjie Zhou.

报告人简介：梁宝生，北京大学公共卫生学院生物统计系，副研究员，博士生导师。2016年博士毕业于北京师范大学概率论与数理统计专业，2013至2016年博士在读期间先后以联合培养博士生和助研身份分别在美国北卡罗来纳大学教堂山分校生物统计系和美国纽约哥伦比亚大学生物统计系进行访问交流；2018年于香港大学统计及精算系博士后出站，并就职于北京大学医学部工作至今。感兴趣的研究领域为生存分析、非参数和半参数统计学以及统计学习等，在肺血栓、震后PTSD、帕金森疾病、阿尔兹海默病、肺癌、宫颈癌和乳腺癌等疾病的临床复杂数据的建模方法等方面开展了系列研究。在Biometrika、Statistica Sinica等国内外期刊发表论文50余篇,合作完成译著1部，参与编写教材4部。主持国家自然科学基金青年项目1项，主持北京市自然科学基金1项，以骨干成员参加科技部重大专项，参加国自然面上项目等若干项。

撰稿人：刘洁

审稿人：邓露