Discrete-time nonparametric estimation for semi-Markov models of chain-of-events data subject to interval censoring and truncation.

@article{Sternberg1999DiscretetimeNE,
  title={Discrete-time nonparametric estimation for semi-Markov models of chain-of-events data subject to interval censoring and truncation.},
  author={Maya Sternberg and Glen A. Satten},
  journal={Biometrics},
  year={1999},
  volume={55 2},
  pages={514-22}
}
Chain-of-events data are longitudinal observations on a succession of events that can only occur in a prescribed order. One goal in an analysis of this type of data is to determine the distribution of times between the successive events. This is difficult when individuals are observed periodically rather than continuously because the event times are then interval censored. Chain-of-events data may also be subject to truncation when individuals can only be observed if a certain event in the… CONTINUE READING

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