Meta analysis kulinskaya elena morgenthaler stephan staudte robert g. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence 2019-01-25

Meta analysis kulinskaya elena morgenthaler stephan staudte robert g Rating: 6,7/10 180 reviews

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meta analysis kulinskaya elena morgenthaler stephan staudte robert g

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. . For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery. You can help adding them by using.

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Elena Kulinskaya & Stephan Morgenthaler: Meta Analysis (PDF)

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

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. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. Combining the evidence using stable weights Combining the evidence using stable weights Kulinskaya, Elena; Morgenthaler, Stephan; Staudte, Robert G. I recommend this book for both the new and experienced meta-analysts. The E-mail message field is required.

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Meta analysis : a guide to calibrating and combining statistical evidence (Book, 2008) [vattier-design.com.tw]

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

The authors aim to promote a deeper understanding of the notion of statistical evidence. The authors aim to promote a deeper understanding of the notion of statistical evidence. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The book is comprised of two parts - The Handbook, and The Theory. Corrections All material on this site has been provided by the respective publishers and authors.

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence by Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

This is a coherent introduction to the statistical conceptsrequired to understand the authors' thesis that evidence in atest statistic can often be calibrated when transformed to theright scale. The authors aim to promote a deeper understanding of the notion of statistical evidence. The Theoryprovides the motivation, theory and results of simulationexperiments to justify the methodology. Both the level and power of corresponding test statistics, as well as the coverage of related confidence intervals are compared over a wide range of sample size and parameter configurations. The book is comprised of two parts — The Handbook, and The Theory. The Theory provides the motivation, theory an.

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Meta analysis : a guide to calibrating and combining statistical evidence

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

It also allows you to accept potential citations to this item that we are uncertain about. The book is comprised of two parts - The Handbook, and The Theory. The bookprovides an interesting angle on statistical inference byintroducing the concept of 'evidence'. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This allows to link your profile to this item.

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Elena Kulinskaya & Stephan Morgenthaler: Meta Analysis (PDF)

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. The book provides an interesting angle on statistical inference by introducing the concept of 'evidence'. The authorsaim to promote a deeper understanding of the notion of statisticalevidence. If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. Calibrating evidence in a test.

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Elena Kulinskaya & Stephan Morgenthaler: Meta Analysis (PDF)

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

The E-mail message field is required. You can help correct errors and omissions. I recommend this book for both the new andexperienced meta-analysts. I enjoyed this concept very much. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems.

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Meta analysis : a guide to calibrating and combining statistical evidence (eBook, 2008) [vattier-design.com.tw]

meta analysis kulinskaya elena morgenthaler stephan staudte robert g

Both the level and power of corresponding test statistics, as well as the coverage of related confidence intervals are compared over a wide range of sample size and parameter configurations. 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? As the access to this document is restricted, you may want to for a different version of it. 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. Journal Research Synthesis Methods — Wiley Published: Jul 1, 2010. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledgein general statistics to apply the methods. Series Title: Responsibility: Elena Kulinskaya, Stephan Morgenthaler, Robert G.

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