Bibliographic Details
| Title: |
A Positive Stable Frailty Model for Clustered Failure Time Data with Covariate-Dependent Frailty. |
| Authors: |
Liu, Dandan1 dandanl@umich.edu, Kalbfleisch, John D.1, Schaubel, Douglas E.1 |
| Superior Title: |
Biometrics. Mar2011, Vol. 67 Issue 1, p8-17. 10p. 3 Charts, 1 Graph. |
| Subject Terms: |
*FAILURE time data analysis, *KIDNEY transplantation, *ANALYSIS of covariance, *SIMULATION methods & models, *CLUSTER analysis (Statistics), *TRANSPLANTATION of organs, tissues, etc. |
| Abstract: |
In this article, we propose a positive stable shared frailty Cox model for clustered failure time data where the frailty distribution varies with cluster-level covariates. The proposed model accounts for covariate-dependent intracluster correlation and permits both conditional and marginal inferences. We obtain marginal inference directly from a marginal model, then use a stratified Cox-type pseudo-partial likelihood approach to estimate the regression coefficient for the frailty parameter. The proposed estimators are consistent and asymptotically normal and a consistent estimator of the covariance matrix is provided. Simulation studies show that the proposed estimation procedure is appropriate for practical use with a realistic number of clusters. Finally, we present an application of the proposed method to kidney transplantation data from the Scientific Registry of Transplant Recipients. [ABSTRACT FROM AUTHOR] |
|
Copyright of Biometrics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Premier |