Pt. I. The Methods -- 1. What can the reader expect from this book? -- 2. Independent measurements with known precision -- 3. Independent measurements with unknown precision -- 4. Comparing treatment to control -- 5. Comparing K treatments -- 6. Evaluating risks -- 7. Comparing risks -- 8. Evaluating Poisson rates -- 9. Comparing Poisson rates -- 10. Goodness-of-fit testing -- 11. Evidence for heterogeneity of effects and transformed effects -- 12. Combining evidence: fixed standardized effects model -- 13. Combining evidence: random standardized effects model -- 14. Meta-regression -- 15. Accounting for publication bias -- Pt. II. The Theory -- 16. Calibrating evidence in a test -- 17. The basics of variance stabilizing transformations -- 18. One-sample binomial test -- 19. Two-sample binomial tests -- 20. Defining evidence in t-statistics -- 21. Two-sample comparisons -- 22. Evidence in the chi-squared statistic -- 23. Evidence in F-tests
24. Evidence in Cochran's Q for heterogeneity of effects -- 25. Combining evidence from K studies -- 26. Correcting for publication bias -- 27. Large-sample properties of variance stabilizing transformations