The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
343
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Biometrics Section
|
Abstract - #301185 |
Title:
|
Estimating Incidence Rate on Current Status Data Imputing Partial Status with Application to Pediatric Cancer Survivor Study
|
Author(s):
|
Shesh N. Rai and Jianmin Pan*+ and Xiaobin Yuan
|
Companies:
|
University of Louisville and University of Louisville and University of Louisville
|
Address:
|
, , ,
|
Keywords:
|
Phase IV clinical trial ;
Cardiotoxicity ;
Cross-section survey data ;
Interval censored data ;
K-M method ;
Imputation
|
Abstract:
|
New drug discovery has dramatically improved survival, but with long-term adverse events. This motivates the examination of adverse outcomes such as long-term drug toxicity in a Phase IV trial. An ideal approach to monitor long-term toxicity is to systematically follow the survivors, which is generally not feasible. Instead, cross-sectional surveys are sometimes conducted to investigate the long-term effects of cancer treatment. In these studies, one objective of interest is to estimate the cumulative incidence rates of toxicity with specific interest in fixed-term rates. However, such data poses many issues: incomplete data, competing risks and selection bias, etc. An example for this study is described in Hudson et al. (2007) studying the effect of cardiotoxicity due to anthracyclines exposure during cancer treatment. The main issue in such studies is the high missing rate. In this paper, we impute the missing values using multivariate regression method under some parametric assumptions, combine with methods previously described to estimate the cumulative incidence rates in an illness-death/failure model, and compare with the results obtained without using imputation.
|
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 2011 program
|
2011 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.