Sensitivity analysis for informative censoring in parametric survival models
UNSPECIFIED. (2005) Sensitivity analysis for informative censoring in parametric survival models. BIOSTATISTICS, 6 (1). pp. 77-91. ISSN 1465-4644Full text not available from this repository.
Official URL: http://dx.doi.org/10.1093/biostatistics/kxh019
Most statistical methods for censored survival data assume there is no dependence between the lifetime and censoring mechanisms, an assumption which is often doubtful in practice. In this paper we study a parametric model which allows for dependence in terms of a parameter delta and a bias function B(r, theta). We propose a sensitivity analysis on the estimate of the parameter of interest for small values of S. This parameter measures the dependence between the lifetime and the censoring mechanisms. Its size can be, interpreted in terms of a correlation coefficient between the two mechanisms. A medical example suggests that even a small degree of dependence between the failure and censoring processes can have a noticeable effect on the analysis.
|Item Type:||Journal Article|
|Subjects:||Q Science > QH Natural history > QH301 Biology
Q Science > QA Mathematics
|Journal or Publication Title:||BIOSTATISTICS|
|Publisher:||OXFORD UNIV PRESS|
|Official Date:||January 2005|
|Number of Pages:||15|
|Page Range:||pp. 77-91|
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