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Introduction to meta-analysis / Michael Borenstein ... [et al.]. — Oxford : Wiley, 2009. – (51.72/I61m) |
Contents
Contents
List of Tables
List of Figures
Acknowledgements
Preface
Web site
PART 1: INTRODUCTION
1 HOW A META-ANALYSIS WORKS
2 WHY PERFORM A META-ANALYSIS
PART 2: EFFECT SIZE AND PRECISION
3 OVERVIEW
4 EFFECT SIZES BASED ON MEANS
5 EFFECT SIZES BASED ON BINARY DATA (2×2 TABLES)
6 EFFECT SIZES BASED ON CORRELATIONS
7 CONVERTING AMONG EFFECT SIZES
8 FACTORS THAT AFFECT PRECISION
9 CONCLUDING REMARKS
PART 3: FIXED-EFFECT VERSUS RANDOM-EFFECTS MODELS
10 OVERVIEW
11 FIXED-EFFECT MODEL
12 RANDOM-EFFECTS MODEL
13 FIXED-EFFECT VERSUS RANDOM-EFFECTS MODELS
14 WORKED EXAMPLES (PART 1)
PART 4: HETEROGENEITY
15 OVERVIEW
16 IDENTIFYING AND QUANTIFYING HETEROGENEITY
17 PREDICTION INTERVALS
18 WORKED EXAMPLES (PART 2)
19 SUBGROUP ANALYSES
20 META-REGRESSION
21 NOTES ON SUBGROUP ANALYSES AND META-REGRESSION
PART 5: COMPLEX DATA STRUCTURES
22 OVERVIEW
23 INDEPENDENT SUBGROUPS WITHIN A STUDY
24 MULTIPLE OUTCOMES OR TIME-POINTS WITHIN A STUDY
25 MULTIPLE COMPARISONS WITHIN A STUDY
26 NOTES ON COMPLEX DATA STRUCTURES
PART 6: OTHER ISSUES
27 OVERVIEW
28 VOTE COUNTING - A NEW NAME FOR AN OLD PROBLEM
29 POWER ANALYSIS FOR META-ANALYSIS
30 PUBLICATION BIAS
PART 7: ISSUES RELATED TO EFFECT SIZE
31 OVERVIEW
32 EFFECT SIZES RATHER THAN p-VALUES
33 SIMPSON'S PARADOX
34 GENERALITY OF THE BASIC INVERSE-VARIANCE METHOD
PART 8: FURTHER METHODS
35 OVERVIEW
36 META-ANALYSIS METHODS BASED ON DIRECTION AND p-VALUES
37 FURTHER METHODS FOR DICHOTOMOUS DATA
38 PSYCHOMETRIC META-ANALYSIS
PART 9: META-ANALYSIS IN CONTEXT
39 OVERVIEW
40 WHEN DOES IT MAKE SENSE TO PERFORM A META-ANALYSIS?
41 REPORTING THE RESULTS OF A META-ANALYSIS
42 CUMULATIVE META-ANALYSIS
43 CRITICISMS OF META-ANALYSIS
PART 10: RESOURCES AND SOFTWARE
44 SOFTWARE
45 BOOKS， WEB SITES AND PROFESSIONAL ORGANIZATIONS
REFERENCES
INDEX
