Estimation from current-status data in continuous time
Research output: Contribution to journal › Journal article › Research › peer-review
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 of a functional. The limitations implied by the necessarily rather restrictive epidemiological assumptions are briefly discussed.
Original language | English |
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Journal | Lifetime Data Analysis |
Volume | 2 |
Issue number | 2 |
Pages (from-to) | 119-129 |
Number of pages | 11 |
ISSN | 1380-7870 |
DOIs | |
Publication status | Published - Jun 1996 |
- Age-specific incidence, Basic reproduction number, Epidemiology, Smoothing splines, Weibull survival distribution
Research areas
ID: 201613622