Efron (Proceedings of the Fifth Berkeley Symposium, Vol. 4, University of California Press, Berkeley, CA, pp. 831-853) and Dinse (Amer. Statist. 39, 1985, 299-300) proposed redistribution of mass algorithms for survivor function estimation from right censored data. Dinse's algorithm is easily extended to survivor function estimation from interval censored data and is further extended to incorporate information on disease markers.
- Kaplan-Meier estimator
- Nonparametric maximum likelihood estimator
- Self-consistent estimator
- Survivor function
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty