Statistical meta-analysis with applications

"Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on...

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Bibliographic Details
Main Authors: Hartung, Joachim, Prof. Dr
Group Author: Knapp, Guido; Sinha, Bimal K., 1946
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470386347
Summary: "Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies."--Jacket.
Carrier Form: 1 online resource (xv, 247 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 233-244) and index.
ISBN: 9780470386330 (electronic bk.)
0470386339 (electronic bk.)
9780470386347
0470386347
Index Number: QA277
CLC: O212.1
Contents: Introduction -- Various measures of effect size -- Combining independent tests -- Methods of combining effect sizes -- Inference about a common mean of several univariate normal populations -- Tests of homogeneity in meta-analysis -- One-way random effects model -- Combining controlled trials with normal outcomes -- Combining controlled trials with discrete outcomes -- Meta-regression -- Multivariate meta-analysis -- Bayesian meta-analysis -- Publication bias -- 14. Recovery of inter-block information -- Combination of polls -- Vote counting procedures -- Computational aspects data sets.