This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
182
|
Type:
|
Contributed
|
Date/Time:
|
Monday, August 2, 2010 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistical Learning and Data Mining
|
Abstract - #306936 |
Title:
|
Estimating the Number of Null Hypotheses in Multiple Testing
|
Author(s):
|
Vasyl Pihur*+
|
Companies:
|
ASA
|
Address:
|
2841 N. Calvert St. , Baltimore, MD, 21218,
|
Keywords:
|
false discovery rate ;
Benjamini-Hochberg procedure ;
multiple testing
|
Abstract:
|
Unbiased and efficient estimation of the proportion of null hypotheses p0 is highly desirable in all adaptive false discovery rate (FDR) procedures. A good estimate of p0 allows for a tighter FDR control which translates into a larger number of significant discoveries while maintaining the appropriate error rate. The method of estimation of p0 proposed in this work is based on the widely used Benjamini-Hochberg rule and produces estimates whose bias and variance are comparable to those of the best existing methods.
|
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 2010 program
|
2010 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.