【摘 要】
：
In this talk, we will present a sequential analysis of censored data with linear transformation models which include Cox proportional hazards model and prop
【机 构】
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ColumbiaUniversity
【出 处】
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IMS-China International Conference on Statistics and Probabi
论文部分内容阅读
In this talk, we will present a sequential analysis of censored data with linear transformation models which include Cox proportional hazards model and propor tional odds model.The approach is based on a score process motivated by Chen, Jin and Yings (2002) and the nonparametric maximum likelihood estimation pro cedures.We show that for given interim analyses time points, the score process is approximated by a mean 0 multivariate normal distribution and the covariance ma trix can be consistently estimated.Then with the boundaries procedure proposed by Slud and Wei (1982), a repeated significant test can be conducted.Numerical studies will also be presented.This is joint work with Lin Huang.
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