Meta-analysis with r

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: pub...

Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accura...

Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accura...

Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accura...

Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accura...

Part I Getting Started: An Introduction to Meta-Analysis in R.- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis.- Meta-Analysis with Binary Outcomes.- Heterogeneity and Meta-Regression.- Part III Advanced Topics: Small-Study Effects in Meta-Analysis.- Missing Data in Meta-Analysis.- Multivariate Meta-Analysis.- Network Meta-Analysis.- Meta-Analysis of Diagnostic Test Accura...

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: pub...