Estimation from current-status data in continuous time.

@article{Keiding1996EstimationFC,
  title={Estimation from current-status data in continuous time.},
  author={Niels Keiding and Kamilla Begtrup and Thomas H. Scheike and G Hasibeder},
  journal={Lifetime data analysis},
  year={1996},
  volume={2 2},
  pages={119-29}
}
The nonparametric maximum likelihood estimator for current-status data has been known for at least 40 years, but only recently have the mathematical-statistical properties been clarified. This note provides a case study in the important and often studied context of estimating age-specific immunization intensities from a seroprevalence survey. Fully parametric and spline-based alternatives (also based on continuous-time models) are given. The basic reproduction number R0 exemplifies estimation… CONTINUE READING

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