期刊
SCANDINAVIAN JOURNAL OF STATISTICS
卷 47, 期 2, 页码 555-571出版社
WILEY
DOI: 10.1111/sjos.12416
关键词
counting processes; empirical processes; log-linear failure time model; multiparameter regression; semiparametric regression; survival data
资金
- Irish Research Council, New Foundations
- Royal Irish Academy, Charlemont Award
We consider a log-linear model for survival data, where both the location and scale parameters depend on covariates, and the baseline hazard function is completely unspecified. This model provides the flexibility needed to capture many interesting features of survival data at a relatively low cost in model complexity. Estimation procedures are developed, and asymptotic properties of the resulting estimators are derived using empirical process theory. Finally, a resampling procedure is developed to estimate the limiting variances of the estimators. The finite sample properties of the estimators are investigated by way of a simulation study, and a practical application to lung cancer data is illustrated.
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