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| Titel: |
Asymptotic efficiency of a competing risks model: A two-sample case |
| Auteur: |
Wan, Jim Y. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 22 (1993) nr. 11 pagina's 3159-3176 |
| Jaar: |
1993 |
| Inhoud: |
A generalized Cox regression model is studied for the covariance analysis of competing risks data subject to independent random censoring. The information of the maximum partial likelihood estimates is compared with that of maximum likelihood estimates assuming a log linear hazard function.The method of generalized variance is used to define the efficiency of estimation between the two models. This is then applied to two-sample problems with two exponentially censoring rates. Numerical results are summarized ane presented graphically.The detailed results indicate that the semi-parametric model wrks well for a higher rate of censoring. A method of generalizing the result to type 1 censoring and the efficiency of estimating the coefficient of the covariate are discussecd. A brief account of using the results to help design experiments is also given. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 3 van 18 gevonden artikelen
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