报告题目：Sieve Maximum Likelihood Regression Analysis of Bivariate Interval-censored Failure Time Data
报告人：Prof.Jianguo Sun,University of Missouri
报告时间：2016年4月11日（周一）13:30-14:30
报告地点：数学楼二楼学术报告厅
报告摘要：Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis.However, most of the existing methods are for univariate data and there exists only limited research on bivariate data, especially on regression analysis of bivariate interval-censored data. In this talk, we will discuss a class of semiparametric transformation models for the problem and for inference, a sieve maximum likelihood approach will be developed. The model provides a great flexibility, in particular including the commonly used proportional hazards model as a special case, and in the approach, Bernstein polynomials are employed. An illustrative example will also be discussed.