1 / 22

EVAL 6970: Meta-Analysis Heterogeneity and Prediction Intervals

Dive into quantifying heterogeneity in meta-analysis, identifying factors affecting it, calculating statistics, and interpreting prediction intervals for accurate results. Explore exercises and review questions for a comprehensive understanding.

glennr
Download Presentation

EVAL 6970: Meta-Analysis Heterogeneity and Prediction Intervals

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. EVAL 6970: Meta-AnalysisHeterogeneity and Prediction Intervals Dr. Chris L. S. Coryn Kristin A. Hobson Fall 2013

  2. Agenda • Identifying and quantifying heterogeneity • Review questions • In-class activity • Prediction intervals • Review questions • In-class activity

  3. Quantifying Heterogeneity • Although we are usually concerned with the dispersion in true effect sizes, observed dispersion includes both true variance and random error • The mechanism used to isolate true variance is to compare the observed dispersion with the amount expected if all studies shared a common effect size • The excess is assumed to reflect real differences among studies • This portion of the variance is used to create indices of heterogeneity

  4. Indices of Heterogeneity

  5. Indices of Heterogeneity

  6. Indices of Heterogeneity

  7. Indices of Heterogeneity

  8. Factors Affecting Heterogeneity Statistics

  9. Review Questions

  10. Today’s First In-Class Activity • Using “Data Sets for Heterogeneity Analysis XLSX” from the course Website • Calculate the heterogeneity statistics for Step 5 and Step 9 (except for the prediction intervals) for each data set • In some cases, you will need to refer to the book (formulas and page numbers are provided) • Verify your results using Meta-Analysis 2.0 • Interpret the heterogeneity statistics

  11. Prediction Intervals

  12. Prediction Intervals

  13. Prediction Intervals • Confidence intervals reflect the accuracy of the mean (in 95% of cases the mean effect size falls in the summary effect) • The prediction intervals address the dispersion of effects (in 95% of cases the true effect in a new study will fall within the prediction intervals)

  14. Review Questions

  15. Today’s Second In-Class Activity

More Related