Abstract Details
|
Activity Number:
|
16
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biopharmaceutical Section
|
| Abstract - #309227 |
|
Title:
|
Model Correction for Informative Censoring
|
|
Author(s):
|
Steven Sun*+ and Sudhakar Rao
|
|
Companies:
|
Johnson & Johnson and Janssen Research & Development
|
|
Keywords:
|
informative censoring ;
survival analysis ;
central review committee ;
progression free survival
|
|
Abstract:
|
Assessment of progression by Independent review committee (IRC) in randomized clinical trials has been advocated and widely used to control bias that might result from errors in assessments by investigators. However, although IRC's assessment lessens some potential reader biases, it may introduce bias because of informative censoring, which results from having to censor unconfirmed locally determined progressions. In this talk, we will introduce a model-base imputation of missing assessments by IRC due to missing scans after investigators' progression assessment. Information from the informative censoring will be partially recovered and hence bias will be reduced in estimating the treatment benefit.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 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.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.