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:
|
512
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #302142 |
Title:
|
Likelihood-Based Instrument Variable Analysis for Comparing Survival of Prostate Cancer Patients Receiving Hormone Therapy vs. Conservative Management
|
Author(s):
|
Anjun Cao*+ and Dirk F. Moore
|
Companies:
|
University of Medicine and Dentistry of New Jersey and University of Medicine and Dentistry of New Jersey
|
Address:
|
155 Matthews Farm Road, Belle Mead, NJ, 08502,
|
Keywords:
|
IVA ;
covariate adjustment ;
prostate-specific survival ;
PSA level
|
Abstract:
|
Instrument variable analysis (IVA) is a method for comparing interventions using observational data. Unlike classical methods of covariate adjustment, it can adjust for both measured and unmeasured covariates, provided that essential assumptions are satisfied. The most important assumption is that an instrument can be found that is associated with the outcome of interest only through its association with the intervention. We present a two-stage likelihood-based IVA procedure for comparing survival data between two interventions. We show that the method can produce unbiased estimates of survival differences if the distribution of an unobserved confounder is known. We use the method to compare prostate-specific survival of patients receiving hormone therapy vs. conservative management, where the unobserved confounder is PSA level.
|
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.