|
|
|
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| CE_21C | Mon, 7/30/07, 1:00 PM - 5:00 PM | CC-151 D-F |
| Meta-Analysis: Statistical Methods for Combining the Results of Independent Studies - Continuing Education - Course | ||
|
ASA |
||
| 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 that 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. A Google scholar search on meta-analysis plus different fields of research uncovered close to 200,000 hits in the social sciences (psychology, sociology, education), and a like number in medicine. Two meta-analytic examples are the effectiveness of mammography in the detection of breast cancer, and an evaluation of gender differences in mathematics education. The information explosion in almost every field coupled with the movement towards evidence based decision making, and cost-effective analysis has served as a catalyst for the development of procedures to synthesize the results of independent studies. In this workshop we provide an historical perspective of meta-analysis, discuss, some of the issues such as various types of bias and the effects of heterogeneity. 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 will also be presented. | ||
|
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. |