Abstract
New bivariate survival function estimators are proposed in the case where the dependence relationship between the censoring variables are modelled. Specific examples include the cases when censoring variables are univariate, mutually independent or specified by a marginal model. Large sample properties of the proposed estimators are discussed. The finite sample performance of the proposed estimators compared with other fully nonparametric estimators is studied via simulations. A real data example is given.
| Original language | English |
|---|---|
| Pages (from-to) | 863-880 |
| Number of pages | 18 |
| Journal | Biometrika |
| Volume | 84 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Dec 1997 |
Keywords
- Archimedean copula
- Bivariate failure time data
- Independent censoring
- Marginal modelling
- Univariate censoring