ABSTRACT
Current status data provides information on the survival status of individuals at single screening times rather than standard observation, possibly right-censored, of failure times. It thus represents an extreme form of interval censoring where censoring intervals are either [0, C] or (C,∞) where C represents the screening time on an appropriate timescale. Considerable attention has been given to estimation of a survival function based on such data, often supplemented by estimation of regression coefficients from a variety of standard models in the context where observed covariates influence survival characteristics. We here review these methods using a particularly accessible example on mortality of avalanche victims to motivate and illustrate methods, assumptions and results.
