Yahoo India Web Search

Search results

    • Director of Biostat

      • Michael Borenstein is the Director of Biostat, a leading developer of statistical software. He is the primary developer of Comprehensive Meta-Analysis (CMA), the world's most widely used program for meta-analysis. He is the recipient of numerous grants from the NIH to develop methods, software, and educational materials for meta-analysis.
      books.google.com/books/about/Introduction_to_Meta_Analysis.html?id=pdQnEAAAQBAJ
  1. Michael BORENSTEIN, Director | Cited by 34,734 | | Read 143 publications | Contact Michael BORENSTEIN

  2. Michael Borenstein is the co-author (with Larry Hedges, Julian Higgins, and Hannah Rothstein) of the text Introduction to Meta Analysis (Wiley, 2009, 2021). He is also the author of the text Common Mistakes in Meta-Analysis and How to Avoid Them .

    • support@meta-analysis.com
  3. Mar 11, 2009 · Michael Borenstein, Director of Biostatistical Programming Associates Professor Borenstein is the co-editor of the recently published Wiley book Publication Bias in Meta-Analysis , and has taught dozens of workshops on meta-analysis.

  4. Apr 6, 2021 · Michael Borenstein is the Director of Biostat, a leading developer of statistical software. He is the primary developer of Comprehensive Meta-Analysis (CMA), the world's most widely used...

  5. Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA.

  6. meta-analysis-workshops.com › pages › aboutvideoMeta-Analysis Workshop Online

    The course is taught by Michael Borenstein. Dr. Dr. Borenstein is the co-author (with Larry Hedges, Julian Higgins, and Hannah Rothstein) of the text Introduction to Meta-Analysis .

  7. Oct 29, 2009 · This book is based on a course given by the first two authors at the University of Melbourne, Australia. After many years of developing their course, the book has two principal aims – to teach scientific programming and to introduce stochastic modelling.