Applied Meta-Analysis with R

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