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Bibframe Work

Title
Statistical meta-analysis with applications
Type
Text
Monograph
Subject
Statistical hypothesis testing (LCSH)
Meta-analysis (LCSH)
Meta-Analysis as Topic (MESH)
Data Interpretation, Statistical (MESH)
Statistics as Topic--methods (MESH)
Language
English
Illustrative Content
Illustrations
Classification
LCC: QA277 .H373 2008 (Assigner: dlc) (Status: used by assigner)
DDC: 519.5/6 full (Assigner: dlc)(Source: 22)
QH 235 (Source: rvk)
SK 850 (Source: rvk)
Supplementary Content
bibliography
index
Content
text
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.
Table Of 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.
Authorized Access Point
Hartung, Joachim, Prof. Dr. Statistical meta-analysis with applications