Meta analysis : a guide to calibrating and combining statistical evidence /
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 part...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, West Sussex ; Hoboken, NJ :
John Wiley & Sons,
2008
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| Subjects: |
MARC
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| 100 | 1 | |a Kulinskaya, Elena. |0 n 2007079193 | |
| 245 | 1 | 0 | |a Meta analysis : |b a guide to calibrating and combining statistical evidence / |c Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte. |
| 264 | 1 | |a Chichester, West Sussex ; |a Hoboken, NJ : |b John Wiley & Sons, |c Ã2008. | |
| 300 | |a 1 online resource (pages .) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
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| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Morgenthaler, Stephan. |0 n 90684026 | |
| 700 | 1 | |a Staudte, Robert G. |0 n 80126864 | |
| 776 | 0 | 8 | |i Print version: |a Kulinskaya, Elena. |t Meta analysis. |d Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, Ã2008 |z 9780470028643 |z 0470028645 |w (DLC) 2007045548 |w (OCoLC)180982658 |
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