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

Nicholas P. Jewell, Division of Biostatistics, School of Public Health, University of California, Berkeley
Mark J. van der Laan, Division of Biostatistics, School of Public Health, University of California, Berkeley

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 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.