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:
|
669
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Survey Research Methods
|
Abstract - #304356 |
Title:
|
Can Replicate-Based Methods Be Used in Variance Estimation for Cut-Point Estimators Derived Through ROC Analysis?
|
Author(s):
|
Dan Liao*+ and Phillip Kott and Sarra Lorraine Hedden
|
Companies:
|
RTI International and RTI International and SAMHSA
|
Address:
|
701 13th St NW, Suite 750, Washington, DC, 20005, United States
|
Keywords:
|
Fay's BRR ;
serious mental illness ;
cutoff value ;
bootstrap ;
jackknife
|
Abstract:
|
The Mental Health Surveillance Study (MHSS) uses data from clinical interviews administered to a sub-sample of adult respondents from the National Survey on Drug Use and Health (NSDUH) for estimating the prevalence of serious mental illness (SMI). First, probabilities of having SMI are estimated for each adult NSDUH respondent based a logistic regression fit to the MHSS sample. Then, a Receiver Operating Characteristic (ROC) analysis classifies NSDUH respondents as either having or not having SMI based on the estimated probabilities. A "cut-point" estimator of prevalence results from using those classifications. Due to the discrete property of ROC classification, the asymptotic variance of cut-point estimator cannot be linearized, and a replication method of variance estimation is needed. We discuss the theoretical reasons why Fay's balanced repeated replication (BRR) is superior to rival replication methods in this context. We then evaluate the results of a simulation study using the MHSS respondent sample to see whether Fay's BRR actually produces nearly unbiased variance estimates for the estimated SMI prevalence among all adults and among the Hispanic subpopulation.
|
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.