Introduction to Meta Analaysis

Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, and Hannah R. Rothstein are world-leading experts in meta-analysis and evidence-based research. Together, they represent some of the most influential voices in modern statistics, methodology, and systematic reviews — making their collaboration exceptionally authoritative and trusted across scientific disciplines.

Michael Borenstein is a pioneer in the development of meta-analytic software and methods. As a researcher, author, and software creator, he focuses on making advanced statistical techniques clear and accessible to scholars, students, and professionals worldwide.

Larry V. Hedges is widely recognized as one of the most influential statisticians in the field of education, psychology, and social sciences. His groundbreaking work on effect sizes and research synthesis has set global standards for how study results are compared and interpreted.

Julian P. T. Higgins is a leading figure in evidence-based health research. He has played a major role in developing guidelines and best practices for systematic reviews used by global research and healthcare organizations, helping improve the reliability of scientific conclusions.

Hannah R. Rothstein is a respected statistician and research methodologist specializing in applied meta-analysis. Her work equips researchers to design more rigorous studies and carry out accurate, high-impact analyses that advance knowledge and inform decision-making.

Their book, Introduction to Meta-Analysis, is considered a foundational resource for anyone engaged in evidence synthesis. It explains essential concepts with clarity and practicality — from effect sizes and statistical models to publication bias and heterogeneity — ensuring readers not only understand the methods but can also apply them confidently in real research.

This book is ideal for students, academics, healthcare professionals, and data analysts who want to produce strong, trustworthy conclusions from multiple studies. With this team of world-class experts as guides, readers gain the skills needed to conduct high-quality meta-analysis and contribute meaningful findings to their fields.