Handbook of Meta-Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods) 1498703984, 9781498703987

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences.

136 88 9MB

English Pages 570 [569] Year 2021

Table of contents :
Published Titles
Handbook of Statistical Methods for Case-Control Studies
Edited by
Contents
Preface
Editors
Contributors
1 Introduction to Systematic Review and Meta-Analysis
2 General Themes in Meta-Analysis
3 General Themes in Meta-Analysis
4 Analysis of Univariate Study-Level Summary Data Using Normal Models
5 Analysis of Univariate Study-Level Summary Data Using Normal Models
6 Analysis of Univariate Study-Level Summary Data Using Normal Models
7 Meta-Regression
8 Individual Participant Data Meta-Analysis
9 Multivariate Meta-Analysis
10 Network Meta-Analysis
11 Model Checking in Meta-Analysis
12 Handling Internal and External Biases: Quality and Relevance of Studies
13 Publication and Outcome Reporting Bias
14 Control Risk Regression
15 Multivariate Meta-Analysis of Survival Proportions
16 Meta-Analysis of Correlations, Correlation
17 The Meta-Analysis of Genetic Studies
18 Meta-Analysis of Dose-Response Relationships
19 Meta-Analysis of Diagnostic Tests
20 Meta-Analytic Approach to Evaluation of Surrogate Endpoints
21 Meta-Analysis of Epidemiological Data, with a Focus on Individual Participant Data
22 Meta-Analysis of Prediction Models
23 Using Meta-Analysis to Plan Further Research
Index

Handbook of Meta-Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
1498703984, 9781498703987

Author / Uploaded
Christopher H. Schmid (editor)
Theo Stijnen (editor)
Ian White (editor)

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