Parametric versus non‐parametric methods for estimating cure rates based on censored survival data
Authors:
- 1 January 1992
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 11 (7) , 931-937
Abstract
If a patient's failure time is incorrectly recorded as being too early, the correction will lower the plateau of the Kaplan‐Meier curve and, hence, the associated estimated cure rate. Implications of this counter‐intuitive observation are discussed. In addition, a parametric approach, based on the Gompertz distribution, to the problem of cure rate estimation is presented.Keywords
This publication has 11 references indexed in Scilit:
- Application of the theory of finite mixtures for the estimation of ‘cure’ rates of treated cancer patientsStatistics in Medicine, 1990
- Treatment intensity and outcome for children with acute lymphocytic leukemia of standard risk. A pediatric oncology group studyCancer, 1989
- A comparison of two regimens for high-risk acute lymphocytic leukemia in childhood. A pediatric oncology group studyCancer, 1989
- What Price Kaplan-Meier?1983
- The asymptotic properties of nonparametric tests for comparing survival distributionsBiometrika, 1981
- A model for a binary variable with time-censored observationsBiometrika, 1977
- Simple Regression Methods for Survival Time StudiesJournal of the American Statistical Association, 1973
- Maximum-Likelihood Estimation of the Parameters of the Gompertz Survival FunctionJournal of the Royal Statistical Society Series C: Applied Statistics, 1970
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958
- XXIV. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. In a letter to Francis Baily, Esq. F. R. S. &cPhilosophical Transactions of the Royal Society of London, 1825