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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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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 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| CE_27C | Tue, 8/5/08, 1:00 PM - 5:00 PM | CC-210-212 |
| Meta-Analysis: Statistical Methods for Combining the Results of Independent Studies - Continuing Education - Course | ||
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ASA |
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| Instructor(s): Ingram Olkin, Stanford University | ||
| Meta-analysis enables researchers to synthesize the results of a number of independent studies designed to determine the effect of an experimental protocol, such as an intervention, so the combined weight of evidence can be considered and applied. Increasingly, meta-analysis is being used in the health sciences, education, and economics to augment traditional methods of narrative research by systematically aggregating and quantifying research literature. The information explosion in almost every field coupled with the movement toward evidence-based decisionmaking and cost-effective analysis has served as a catalyst for the development of procedures to synthesize the results of independent studies. In this course, I will provide a historical perspective of meta-analysis and discuss some of its issues. The statistical methodology will include discussions of nonparametric and parametric models, effect sizes for proportions, fixed versus random effects, regression, and ANOVA models. New material on multivariate models also will be presented. | ||
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JSM 2008
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. |