Introduction to meta-analysis /
| Main Authors: | , , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
[2021]
|
| Edition: | Second edition. |
| Subjects: |
Table of Contents:
- How a meta-analysis works
- Why perform a meta-analysis
- Overview
- Effect sizes based on means
- Effect sizes based on binary data (2 × 2 tables)
- Effect sizes based on correlations
- Converting among effect sizes
- Factors that affect precision
- Concluding remarks
- Overview
- Fixed-effect model
- Random-effects model
- Fixed-effect versus random-effects models
- Worked examples (part 1)
- Overview
- Identifying and quantifying heterogeneity
- Prediction intervals
- Worked examples (part 2)
- An intuitive look at heterogeneity
- Classifying heterogeneity as low, moderate, or high
- Subgroup analyses
- Meta-regression
- Notes on subgroup analyses and meta-regression
- Looking at the whole picture
- Limitations of the random-effects model
- Knapp–Hartung adjustment
- Overview
- Independent subgroups within a study
- Multiple outcomes or time-points within a study
- Multiple comparisons within a study
- Notes on complex data structures
- Overview
- Vote counting : a new name for an old problem
- Power analysis for meta-analysis
- Publication bias
- Overview
- Effect sizes rather than P-values
- Simpson's Paradox
- Generality of the basic inverse-variance method
- Overview
- Meta-analysis methods based on direction and P-values
- Further methods for dichotomous data
- Psychometric meta-analysis
- Overview
- When does it make sense to perform a meta-analysis?
- Reporting the results of a meta-analysis
- Cumulative meta-analysis
- Criticisms of meta-analysis
- Comprehensive meta-analysis software
- How to explain the results of an analysis
- Software for meta-analysis
- Web sites, societies, journals, and books.