| 报告题目： | Semiparametric Analysis of Longitudinal Zero-Inflated Count Data |
| 报 告 人： | 朱仲义 |
| 复旦大学管理学院统计系副主任、教授、博士生导师 | |
| 报告时间： | 2011年1月14日上午10：30-11：30 |
| 报告地点： | 九龙湖第一报告厅 |
| 相关介绍： | 题目: Semiparametric Analysis of Longitudinal Zero-Inflated Count Data 摘要：In this article, we consider a semiparametric zero-inflated Poisson mixed model that postulates a possible nonlinear relationship between the natural logarithm of the mean of the counts and a particular covariate in the longitudinal studies. A penalized log-likelihood function is proposed and Monte Carlo expectation-maximization algorithm is used to derive the estimates. Under some mild conditions, we establish the consistency and asymptotic normality of the resulting estimators. Simulation studies are carried out to investigate the finite sample performance of the proposed method. For illustration purpose, the method is applied to a data set from a pharmaceutical company where the variable of interest is the number of episodes of side effect after the patient has taken the treatments. |
