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Abstract
The usual model for censored survival analysis requires the assumption that censoring of observations arises only due to causes unrelated to the lifetime under consideration. It is easy to envision situations in which this assumption is unwarranted, and in which use of the Kaplan-Meier estimator and associated techniques will lead to unreliable analyses.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | An identifiable model for informative censoring |
| Year Published | 1988 |
| Language | English |
| Publisher | American Statistical Association |
| Publisher location | Washington, DC |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | xxxvii, 860 |
| Larger Work Type | Book |
| Larger Work Subtype | Other Government Series |
| Larger Work Title | Computing Science and Statistics: Proceedings of the 20th Symposium on the Interface |
| First page | 725 |
| Last page | 727 |
| Google Analytic Metrics | Metrics page |