The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
618
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
ENAR
|
Abstract - #305440 |
Title:
|
Evaluating Center-Specific Long-Term Outcomes Through Differences in Mean Survival Time
|
Author(s):
|
Zhi He*+ and Douglas E Schaubel
|
Companies:
|
University of Michigan and University of Michigan
|
Address:
|
2331 Stone Rd, Ann Arbor, MI, 48105, United States
|
Keywords:
|
Center effect ;
Mean survival time ;
Piece-wise Exponential ;
Shared frailty model ;
Survival analysis
|
Abstract:
|
The majority of existing methods in the evaluation of center-specific survival involve contrasting death rates. However, the difference in mean lifetime is arguably a more meaningful measure than the ratio of death rates. Existing methods based on restricted mean lifetime tend to focus on short- and medium-term clinical outcomes. Such measures may fail to capture the long-term effects that relate to the quality of follow-up care. In this report, we propose a method that combines a log-normal frailty model and piece-wise exponential baseline rates to compare the mean survival time across centers. The proposed methods allow for consistent estimation of mean survival time as opposed to restricted mean lifetime and, within this context, more accurate profiling of long-term centerspecific outcomes. Maximum likelihood based estimation is carried out using a Laplace approximation for integration. Direct standardization methods are applied to contrast mean survival time by center. Asymptotic properties of the proposed estimators are derived, and finite-sample properties are examined through simulation. The proposed methods are applied to national kidney transplant data.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.