Statistical Methods for Meta-Analysis
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.
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Chapter 3 Tests of Statistical Significance of Combined Results
Chapter 4 VoteCounting Methods
Parametric and Nonparametric Methods
Chapter 6 Parametric Estimation of Effect Size From a Series of Experiments
General Linear Models
Chapter 11 Combining Estimates of Correlation Coefficients
Chapter 12 Diagnostic Procedures for Research Synthesis Models
Chapter 13 Clustering Estimates of Effect Magnitude
Chapter 14 Estimation of Effect Size When Not All Study Outcomes Are Observed
Chapter 15 MetaAnalysis in the Physical and Biological Sciences
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