Abstract
Data from longitudinal studies in which an initiating event and a subsequent event occur in sequence are called doubly censored data if the time of both events is interval-censored. In some cases, the second event also suffers left-truncation. This article is concerned with using doubly censored and truncated data to estimate the distribution function F of the duration time, i.e. the elapsed time between the originating event and the subsequent event. An iterative procedure is proposed to obtain the estimate of F. A simulation study is conducted to investigate the performance of the proposed estimator. A modified data set is used to illustrate the proposed approach.
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Shen, Ps. Nonparametric estimation with doubly censored and truncated data. Comput Stat 26, 145–157 (2011). https://doi.org/10.1007/s00180-010-0214-4
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DOI: https://doi.org/10.1007/s00180-010-0214-4