Springer Verlag, Statistical Papers, 2(45), p. 139-173
DOI: 10.1007/bf02777221
Full text: Unavailable
Interval censoring appears when the event of interest is only known to have occurred within a random time interval. Estimation and hypothesis testing procedures for interval-censored data are surveyed. We distinguish between frequentist and Bayesian approaches. Computational aspects for every proposed method are described and solutions with S-Plus, whenever are feasible, are mentioned. Three real data sets are analyzed.