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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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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| CE_10C | Sun, 7/29/07, 8:30 AM - 5:00 PM | CC-150 A-C |
| Statistical Evaluation of Medical Tests and Biomarkers for Classification - Continuing Education - Course | ||
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Section on Statistics in Epidemiology, ASA |
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| Instructor(s): Margaret Pepe, Fred Hutchinson Cancer Research Center, Holly Janes, Johns Hopkins University, Todd Alonzo, University of Southern California | ||
| Development of new biomarkers and medical diagnostic devices has rapidly accelerated. Their rigorous evaluation is a high priority for research. Yet principles and techniques for the design and analysis of these studies are not widely known. There are fundamental differences with methods for therapeutic and etiologic studies. Moreover, much basic methodology has developed recently. This course first covers estimation and comparison of Receiver Operating Characteristic (ROC) curves. We describe extensions to adjust for covariates that effect biomarker/test measurements. For assessing factors associated with test performance, ROC regression methods will be presented. We also consider how to evaluate the added benefit of a new test when standard tests or clinical variables already exist. Second, we consider the design of case-control studies that are most common in this field. Sample size calculations and optimal choice of case-control ratio will be presented. The attributes and limitations of matching controls to cases will be discussed. Third, prospective studies are considered. They are often subject to restrictions on ascertainment of the gold standard outcome variable. Finally, we discuss problems incurred when the gold standard reference test is itself subject to error. A new suite of freely available Stata programs will implement analyses. Prerequisite: Introductory statistics. | ||
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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. |