报告题目：A new logistic model with subject-specific and serially correlated time-specific distribution-free random effects on the unit interval for longitudinal binary data

报告摘要：

Various beta-binomial mixed effects models have been developed in recent years for longitudinal binary data; however, these approaches rely heavily on the parametric specification of beta and normal random effects. Furthermore, their incorporation of normal random effects into beta-binomial models has been done at the sacrifice of certain computational convenience and clear interpretation with beta-binomial models. In this paper, we introduce a new model that incorporates subject-specific and serially correlated time-specific distribution-free random effects on the unit interval into logistic regression multiplicatively with fixed effects. This new multiplicative model facilitates interpretation of random effects on the unit interval as risk modifiers. This multiplicative model setup also eases the model derivation and random effects prediction. A quasi-likelihood approach has been developed in the estimation of our model. Our results are robust against random effects distributions. Our method is illustrated through the analysis of multiple sclerosis trial data.

报告人简介：

张露露，新不伦瑞克大学数学与统计学系在读博士生，目前主要从事纵向数据分析和时空模型的研究工作，现在该领域发表论文2篇。

报告时间：2025年6月20日（周五）17:00—18:30

报告地点：同析4号楼308室