Introduction to R
What Is R?
Steps on Installing R and Updating R Packages
Database Management and Data Manipulations
A Simple Simulation on Multi-Center Studies
Summary and Recommendations for Further Reading
Research Protocol for Meta-Analyses
Introduction
Defining the Research Objective
Criteria for Identifying Studies to Include in the Meta-Analysis
Searching For and Collecting the Studies
Data Abstraction and Extraction
Meta-Analysis Methods
Results
Summary and Discussion
Fixed Effects and Random Effects in Meta-Analysis
Two Datasets from Clinical Studies
Fixed-Effects and Random-Effects Models in Meta-Analysis
Data Analysis in R
Which Model Should We Use? Fixed Effects or Random Effects?
Summary and Conclusions
Meta-Analysis with Binary Data
Meta-Analysis Methods
Meta-Analysis of Lamotrigine Studies
Discussions
Meta-Analysis for Continuous Data
Two Published Datasets
Methods for Continuous Data
Meta-Analysis of Tubeless versus Standard Percutaneous Nephrolithotomy
Discussion
Heterogeneity in Meta-Analysis
Heterogeneity Quantity Q and the Test of heterogeneity in R meta
The Quantifying Heterogeneity in R meta
Step-By-Step Implementations in R
Discussions
Meta-Regression
Data
Meta-Regression
Data Analysis Using R
Discussion
Individual Patient-Level Data Analysis versus Meta-Analysis
Introduction
Treatment Comparison for Changes in HAMD
Treatment Comparison for Changes in MADRS
Summary
Simulation Study on Continuous Outcomes
Discussions
Meta-Analysis for Rare Events
The Rosiglitazone Meta-Analysis
Step-by-Step Data Analysis in R
Discussion
Other R Packages for Meta-Analysis
Combining p-Values in Meta-Analysis
R Packages for Meta-Analysis of Correlation Coefficients
Multivariate Meta-Analysis
Discussions
Index