Includes bibliographical references (pages 233-244) and index.
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.
'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.