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| Titel: |
Simple nonparametric tests for a known standard survival based on censored data |
| Auteur: |
Gatsonis, Constantine Hsieh, H. K. Korwar, Ramesh |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 14 (1985) nr. 9 pagina's 2137-2162 |
| Jaar: |
1985 |
| Inhoud: |
It is often of interest in survival analysis to test whether the distribution of lifetimes from which the sample under study was derived is the same as a reference distribution. The latter can be specified on the basis of previous studies or on subject matter considerations. In this paper several tests are developed for the above hypothesis, suitable for right-censored observations. The tests are based on modifications of Moses' one-sample limits of some classical two-sample rank tests. The asymptotic distributions of the test statistics are derived, consistency is established for alternatives which are stochastically ordered with respect to the null, and Pitman asymptotic efficiencies are calculated relative to competing tests. Simulated power comparisons are reported. An example is given with data on the survival times of lung cancer patients. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 14 van 16 gevonden artikelen
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