|
|
|
This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
|
|
|
The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter| 244 | Tue, 7/31/07, 8:30 AM - 10:20 AM | CC-259 |
| Bayesian Statistical Methodology and Its Application to Biometrics - Contributed - Papers | ||
|
Biometrics Section |
||
| Chair(s): Meehyung Cho, sanofi-aventis | ||
| 8:35 AM |
A Bayesian Approach to a Logistic Regression Model with Incomplete Information — Taeryon Choi, University of Maryland, Baltimore County; Mark J. Schervish, Carnegie Mellon University; Ketra Schmitt, Battelle Memorial Institute; Mitchell Small, Carnegie Mellon University
|
|
| 8:50 AM |
A Bayesian Method for the Detection of Epistasis in Quantitative Trait Loci — Edward Boone, Virginia Commonwealth University
|
|
| 9:05 AM |
Group Sequential Designs and Analyses for Clinical Trials Based on a Utility Setting — Yi Cheng, Indiana University South Bend
|
|
| 9:20 AM |
Statistical Model for Detecting Multiple eQTLs — Wei Zhang, Harvard University; Jun S. Liu, Harvard University; Jun Zhu, Rosetta Inpharmatics, LLC
|
|
| 9:35 AM |
Empirical Bayes Estimators in Stratified Random Sampling/Ranked Set Sampling — Tetsuji Ohyama, Kurume University; Jimmy A. Doi, California Polytechnic State University; Takashi Yanagawa, Kurume University
|
|
| 9:50 AM |
Linear Model Selection Based on Estimation of Model Bias — Andrew Neath, Southern Illinois University Edwardsville; Letitia Downen, Southern Illinois University Edwardsville; Joseph Cavanaugh, The University of Iowa
|
|
| 10:05 AM |
Empirical Bayes Methods for Controlling the False Discovery Rate with Dependent Data — Weihua Tang, Bristol-Myers Squibb Company; Cun-Hui Zhang, Rutgers University
|
|
|
JSM 2007
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. |