南加州大学Dr.J.Shih实验室简介

<正> Dr.J.Shih生物科学实验室位于南加大/洛杉矶医学中心。该室近年在药理学、生物化学研究领域有重大进展,引起美国报纸和同行的关注。现将该室的研究情况简介如下:1.5-羟色胺(5-HT)受体结合实验及5-HT_(1A)受体的提纯。受体结合实验及受体的提纯在寻找新药、了解某些疾病以及药理学受体理论上均有重大意义。该室已从牛脑中采用亲和胶分离出5-HT_(1A)受体蛋白,目前正对该蛋白作进一步的氨基酸序列分析和鉴定。5-HT_(1A)受体不够     

A Review of: “Design and Analysis of Vaccine Studies,by M. E. Halloran,I. M. Longini,Jr., and C. J. Struchiner,”

Joint modeling of longitudinal measurements and time to event data is often performed by fitting a shared parameter model. Another method for joint modeling that may be used is a marginal model. As a marginal model, we use a Gaussian model for joint modeling of longitudinal measurements and time to event data. We consider a regression model for longitudinal data modeling and a Weibull proportional hazard model for event time data modeling. A Gaussian copula is used to consider the association between these two models. A Monte Carlo expectation-maximization approach is used for parameter estimation. Some simulation studies are conducted in order to illustrate the proposed method. Also, the proposed method is used for analyzing a clinical trial dataset.