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Kulinskaya, Elena / Morgenthaler, Stephan / Staudte, Robert G.
Meta Analysis
A Guide to Calibrating and Combining Statistical Evidence
Wiley Series in Probability and Statistics

1. Edition February 2008
63.90 Euro
2008. 282 Pages, Softcover
ISBN 978-0-470-02864-3 - John Wiley & Sons




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Short description
Promoting a deeper understanding of the notion of statistical evidence, Probe It: Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The book is comprised of two parts: The Handbook and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows readers with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.

From the contents
Preface.

Part 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 mode.

14 Meta-regression.

15 Accounting for publication bias.

Part II The Theory.

16 Calibrating 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.

References.

Index.

 





 

        

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