Un acercamiento a los datos censurados y el bootstrap
An Approach to Censored Data and the Bootstrap
Abstract (en)
The purpose of this paper is to communicate some recent results about survival analysis under the Kaplan-Meier curve and its aplication to censored data by resampling methods such as Jackknife y Boostrap.Abstract (es)
En este articulo de carácter divulgativo, se busca mostrar algunos resultados relacionados con las curvas de sobrevida bajo el método de Kaplan-Meier (K.M.), y su aplicación a los datos censurados por métodos de remuestreo, específicamente Jackknife y Boostrap.
References
Efron, B. (1967), `The two sample problem with censored data', Proceedings of the Fifth Berkley Symposium of Mathematical Statistic and Probability4, 831-853.
Efron, B. (1979), `Bootstrap methods: Another look at the jackknife', Annals of Statistics (7), 1- 26.
Gilbert, J. P. (n.d.), `Ramdon censorship’, Unpublished Ph.D Thesis.
Johnson, N. J. (1978), `Modifeiedttests and confidence intervals for asymmetric populations', Journal of the American Statistical Association pp. 536 -597.
Kaplan, E. L. & Meier, P. (1958), `Nonparametric estimation for incomplete observations', Journal of the American Statistical Associaton53, 457- 481.
Lehman, E. (1975), Non-parametric: Statistical Methods Based on Ranks, Holden Day.
Miller, R. G. (1964), `A thrust worthy jackknife’, Annals of Mathematical Statistics39, 567- 586.
Pettereson, A. V. (1977), `Expressing the kaplan-meier estimator as a function of empirical sub survival functions', Journal of the American Statistical Associ-aton72(360), 854 { 858.
Shao, J. & Tu, D. (1995), The Jackknife and Bootstrap, first edn, Springer-Verlag
How to Cite
License
The authors maintain the rights to the articles and therefore they are free to share, copy, distribute, execute and publicly communicate the work under the following conditions:
Recognize the credits of the work in the manner specified by the author or licensor (but not in a way that suggests that, you have their support or that they support your use of their work).
Comunicaciones en Estadística is licensed under Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
Universidad Santo Tomás preserves the patrimonial rights (copyright) of the published works, and favors and allows the reuse of them under the aforementioned license.
