| Autor: |
Jácome, M. A., Iglesias-Pérez, M. C. |
| Předmět: |
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| Zdroj: |
Communications in Statistics: Theory & Methods; Nov2008, Vol. 37 Issue 18, p2964-2983, 20p, 2 Charts, 4 Graphs |
| Abstrakt: |
We propose a new method to estimate the cumulative hazard function and the corresponding distribution function of survival times under randomly left-truncated and right-censored observations (LTRC). The new estimators are based on presmoothing ideas, the estimation of the conditional expectation m of the censoring indicator. An almost sure representation for both estimators is established, from which a strong consistency rate and asymptotic normality are derived. It is shown that the presmoothed modification leads to a gain in terms of asymptotic mean squared error. This efficiency with respect to the classical estimators is also shown in a simulation study. Finally, an application to a real data set is provided. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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