【内容简介】
This book combines the authors' experiences on the topic and brings out a wealth of new information relevant to the study of meta-analysis.
Most of the methods described in this book can be understood and applied with a solid master's level background in statistics.
Applications ranging from business to education to environment to health sciences in both univariate and multivariate cases are presented alongside and subservient to theory.
The treatment of the common mean of univariate normal populations, tests of homogeneity, one-way random effects model, categorical data, recovery of inter-block information, and combination of polls is entirely new.
A special feature includes the incorporation of detailed discussions on the computational aspects and related software to carry out statistical meta-analysis in practice.
【目次】
1 Introduction 1
2 Various Measures of Effect Size 13
3 Combining Independent Tests 25
4 Methods of Combining Effect Sizes 35
5 Inference about a Common Mean of Several Univariate Normal Populations 43
6 Tests of Homogeneity in Meta-Analysis 63
7 One-Way Random Effects Model 73
8 Combining Controlled Trials with Normal Outcomes 97
9 Combining Controlled Trials with Discrete Outcomes 113
10 Meta-Regression 127
11 Multivariate Meta-Analysis 139
12 Bayesian Meta-Analysis 155
13 Publication Bias 171
14 Recovery of Interblock Information 179
15 Combination of Polls 191
16 Vote Counting Procedures 203
17 Computational Aspects 213
18 Data Sets 225
References 233
Index 245