Catalog

Introduction to meta-analysis

  • Borenstein, Michael
  • John Wiley & Sons
  • 2009
Introduction to meta-analysis
  • Data Type
    Book
  • Title/Author
    Introduction to meta-analysis / Michael Borenstein ... [et al.].
  • Publication
    Chichester, West Sussex, U.K. ;Hoboken : John Wiley & Sons, 2009.
  • Author
    Borenstein, Michael
  • Phy Desc.
    xxviii, 421 p.: ill. ; 26 cm.
  • Bibliography
    Includes bibliographical references and index.
  • Contents Note
    Part 1 Introduction : 1 How a Meta-Analysis Works - 2 Why Perform a Meta-Analysis - Part 2 Effect Size and Precision - 3 Overview - 4 Effect Sizes Based on Means - 5 Effect Sizes Based on Binary Data (2 x 2 Tables) - 6 Effect Sizes Based on Correlations - 7 Converting Among Effect Sizes - 8 Factors that Affect Precision - 9 Concluding Remarks - Part 3 Fixed-Effect Versus Random-Effects Models : 10 Overview - 11 Fixed-Effect Model - 12 Random-Effects Model - 13 Fixed-Effect Versus Random-Effects Models - 14 Worked Examples (Part 1) - Part 4 Heterogeneity : 15 Overview - 16 Identifying and Quantifying Heterogeneity - 17 Prediction Intervals - 18 Worked Examples (Part 2) - 19 Subgroup Analyses - 20 Meta-Regression - 21 Notes on Subgroup Analyses and Meta-Regression - Part 5 Complex Data Structures : 22 Overview - 23 Independent Subgroups within a Study - 24 Multiple Outcomes or Time-Points Within a Study - 25 Multiple Comparisons within a Study - 26 Notes on Complex Data Structures - Part 6 Other Issues : 27 Overview - 28 Vote Counting a New Name for an Old Problem - 29 Power Analysis for Meta-Analysis - 30 Publication Bias - Part 7 Issues Related to Effect Size : 31 Overview - 32 Effect Sizes Rather Than p-Values - 33 Simpson s Paradox - 34 Generality of the Basic Inverse-Variance Method - Part 8 Further Methods : 35 Overview - 36 Meta-Analysis Methods Based on Direction and p-Values - 37 Further Methods for Dichotomous Data - 38 Psychometric Meta-Analysis - Part 9 Meta-Analysis in Context : 39 Overview - 40 When Does it Make Sense to Perform a Meta-Analysis? - 41 Reporting he Results of a Meta-Analysis - 42 Cumulative Meta-Analysis - 43 Criticisms of Meta-Analysis - Part 10 Resources and Software : 44 Software - 45 Books, Web Sites and Professional Organizations.
  • Topical Term
    Meta-analysis
    Meta-Analysis as Topic
  • ISBN
    9780470057247(cloth)
  • Language
    English

Holdings Summary

소장정보
No. Location Call No. Availability Due Date Request/Reservation
1 연세의학도서관/3층 구관/17서가 3열 610.72 B731i 대출가능 -

Table of Content

Part 1 Introduction
1 How a Meta-Analysis Works
2 Why Perform a Meta-Analysis

Part 2 Effect Size and Precision
3 Overview
4 Effect Sizes Based on Means
5 Effect Sizes Based on Binary Data (2 x 2 Tables)
6 Effect Sizes Based on Correlations
7 Converting Among Effect Sizes
8 Factors that Affect Precision
9 Concluding Remarks

Part 3 Fixed-Effect Versus Random-Effects Models
10 Overview
11 Fixed-Effect Model
12 Random-Effects Model
13 Fixed-Effect Versus Random-Effects Models
14 Worked Examples (Part 1)

Part 4 Heterogeneity
15 Overview
16 Identifying and Quantifying Heterogeneity
17 Prediction Intervals
18 Worked Examples (Part 2)
19 Subgroup Analyses
20 Meta-Regression
21 Notes on Subgroup Analyses and Meta-Regression

Part 5 Complex Data Structures
22 Overview
23 Independent Subgroups within a Study
24 Multiple Outcomes or Time-Points Within a Study
25 Multiple Comparisons within a Study
26 Notes on Complex Data Structures

Part 6 Other Issues
27 Overview
28 Vote Counting a New Name for an Old Problem
29 Power Analysis for Meta-Analysis
30 Publication Bias

Part 7 Issues Related to Effect Size
31 Overview
32 Effect Sizes Rather Than p-Values
33 Simpson s Paradox
34 Generality of the Basic Inverse-Variance Method

Part 8 Further Methods
35 Overview
36 Meta-Analysis Methods Based on Direction and p-Values
37 Further Methods for Dichotomous Data
38 Psychometric Meta-Analysis

Part 9 Meta-Analysis in Context
39 Overview
40 When Does it Make Sense to Perform a Meta-Analysis?
41 Reporting he Results of a Meta-Analysis
42 Cumulative Meta-Analysis
43 Criticisms of Meta-Analysis

Part 10 Resources and Software
44 Software
45 Books, Web Sites and Professional Organizations