Singly and Doubly Censored Current Status Data With Extensions to Multi-State Counting Processes


Published in Proceedings of the First Seattle Symposium in Biostatistics: Survival Analysis (1995). D.Y. Lin and T. R. Fleming (editors), Springer Lecture Notes in Statistics (1997), pp. 171-184.


In estimation of a survival function, current status data arises when the only information available on sampled individuals is their survival status at a single monitoring time. Here, we briefly review recent developments in techniques for two extensions of current status data, namely (i) doubly censored current status data, where there is incomplete information on the origin of the failure time random variable, and (ii) current status information on more complicated stochastic processes.


Statistical Methodology | Statistical Theory | Survival Analysis

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