Abstract
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 nonparametric estimation 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.
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Jewell, N.P., van der Laan, M. (1997). Singly and Doubly Censored Current Status Data with Extensions to Multi-State Counting Processes. In: Lin, D.Y., Fleming, T.R. (eds) Proceedings of the First Seattle Symposium in Biostatistics. Lecture Notes in Statistics, vol 123. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6316-3_9
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DOI: https://doi.org/10.1007/978-1-4684-6316-3_9
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