Description |
1 online resource (pages .) |
Contents |
Meta Analysis A Guide to Calibrating and Combining Statistical Evidence; 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 |
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13 Combining evidence: random standardized effects model14 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 e |
Summary |
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 an |
Bibliography |
Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Meta-analysis.
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Meta-Analysis as Topic
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MEDICAL -- Biostatistics.
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Meta-analysis
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Form |
Electronic book
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Author |
Morgenthaler, Stephan.
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Staudte, Robert G.
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ISBN |
9780470985533 |
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0470985534 |
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9780470985526 |
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0470985526 |
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1281319813 |
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9781281319814 |
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