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:
|
122
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 1, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #302044 |
|
Title:
|
A Finite Mixture Model to Refine Risk Stratification in Multiple Myeloma
|
|
Author(s):
|
Pingping Qu*+
|
|
Companies:
|
Cancer Research and Biostatistics (CRAB)
|
|
Address:
|
1730 Minor Ave Suite 1900, Seattle, WA, 98101, USA
|
|
Keywords:
|
multiple myeloma ;
risk prediction ;
mixture model ;
survival
|
|
Abstract:
|
Many cancers are characterized by tremendous heterogeneity in clinical outcome following standard therapies such as in multiple myeloma (MM). Accurately characterizing such heterogeneity and identifying patients at different risk groups can help uncover disease subtypes and help physicians develop targeted therapies. In recent years, many risk stratification models have been developed using genomic data. At UAMS (the University of Arkansas for Medical Sciences), a genomic 70-gene risk model has successfully identified high risk groups of MM patients for relapse. Here we present a finite mixture survival model to refine the risk assignment of this 70-gene model in the hope of better classifying patients with risk scores near the boundary of high and low risk. We discuss results from applying the mixture model to a large, UAMS myeloma clinical trial data set.
|
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.