Meta Analysis A Guide to Calibrating and Combining Statistical Evidence [Paperback]

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.

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 someone 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.

This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.Preface.

Part I The Methods.

1 What can the reader expect from this book?

1.1 A calibration scale for evidence.

1.2 The efficacy of glass ionomer versus resin sealants for prevention of caries.

1.3 Measures of effect size for two populations.

1.4 Summary.

2 Independent measurements with known precision.

2.1 Evidence for one-sided alternatives.

2.2 Evidence for two-sided alternatives.

2.3 Examples.

3 Independent measurements with unknown precision.

3.1 Effects and standardized effects.

3.2 Paired comparisons.

3.3 Examples.

4 Comparing treatment to control.

4.1 Equal unknown precision.

4.2 Differing unknown precision.

4.3 Examplel3%