Meta analysis : [publication] : a guide to calibrating and combining statistical evidence /
by
Kulinskaya, Elena
; Morgenthaler, Stephan; Staudte, Robert G.
Material type: 
BookPublisher: Chichester : Wiley, 2008Description: 260 p. : ill. ; 23 cm.ISBN: 9780470028643; 0470028645.MeSH subject(s): Meta-Analysis | Statistics as Topic | Statistics as Topic -- methods | GuidelineAddiction suisse subject(s): Statistik | Methode | KonzeptPUBLICATION TYPE SAPHIR: MonographSummary: I.The methods. 1. What can the reader expect from the 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. Comapring 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. II. The theory. 16. Calibring evidence in a test. 17. The basics of variance stabilizing transformations. 18. One-sample binomial tests. 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- Acknowledgements. Bibliography - Index.
| Item type | Current location | Call number | Status | Date due |
|---|---|---|---|---|
| Addiction Suisse; Bibliothèque Bibliothèque | H0-55 (Browse shelf) | Available |
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I.The methods. 1. What can the reader expect from the 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. Comapring 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. II. The theory. 16. Calibring evidence in a test. 17. The basics of variance stabilizing transformations. 18. One-sample binomial tests. 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- Acknowledgements. Bibliography - Index.