Abstract Details
Activity Number:
|
229
|
Type:
|
Contributed
|
Date/Time:
|
Monday, August 4, 2014 : 2:00 PM to 3:50 PM
|
Sponsor:
|
International Indian Statistical Association
|
Abstract #313416
|
|
Title:
|
Two-Sample Empirical Likelihood-Based Tests for Mean: From Frequentists to Bayesian Type Techniques with Applications to Case-Control Studies
|
Author(s):
|
Ge Tao*+ and Albert Vexler
|
Companies:
|
University at Buffalo and University at Buffalo
|
Keywords:
|
Empirical likelihood ;
Bayes factor ;
Maximum likelihood estimation ;
Two-sample tests
|
Abstract:
|
Many clinical experiments are designed to be in a form of case-control studies for detecting discriminating ability of biomarkers or comparing treatment effects. Two-sample statistical tests are common procedures applied in such investigations. Avoiding parametric assumptions regarding data distributions, we consider different forms of empirical likelihood ratio tests to be employed in case-control studies. In this paper, we also proposed and evaluate novel two-sample empirical likelihood ratio based tests that involve Bayes factor type mechanisms in a nonparametric manner. The asymptotic properties of the proposed techniques are presented. We employ an extensive Monte Carlo study to evaluate the theoretical results as well as to compare the power of various two-sample tests for mean. The applicability of the proposed methods is demonstrated via a study associated with myocardial infarction disease.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.