Meta-analysis for Data Science and Business Analytics

Enhance your understanding of meta-analysis. Learn about raw mean differences and how to convert useful outcome measures to commensurate measures of effect size.

Introduction

• Welcome
• Exercise files

1. Meta-Analysis: The Basic Idea

• Combine many empirical findings
• Closer look at effect sizes
• Need for a standard measure

2. Two Groups: Continuous Outcome Measure

• Raw mean difference
• Standardized mean difference: Independent groups
• Standardized mean difference: Dependent groups

3. Two Groups: Binary Outcome

• Risk and odds ratios
• Logarithms in risk and odds ratios

4. Confidence Intervals

• Odds ratios
• Single study
• Meta-analysis

Conclusion

• Next steps