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OverviewFull Product DetailsAuthor: Ding-Geng (Din) Chen (University of North Carolina, USA) , Karl E. Peace (Georgia Southern University,USA)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Edition: 2nd edition Weight: 1.000kg ISBN: 9780367183837ISBN 10: 0367183838 Pages: 424 Publication Date: 31 March 2021 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction to R and Stata for Meta-Analysis 2. Research Protocol for Meta-Analyses 3. Fixed-E ects and Random-E ects in Meta-Analysis 4. Meta-Analysis with Binary Data 5. Meta-Analysis for Continuous Data 6. Heterogeneity in Meta-Analysis 7. Meta-Regression 8. Multivariate Meta-Analysis 9. Publication Bias in Meta-Analysis 10. Strategies to Handle Missing Data in Meta-Analysis 11. Meta-Analysis for Evaluating Diagnostic Accuracy 12. Network Meta-Analysis 13. Meta-Analysis for Rare Events 14. Meta-Analyses with Individual Patient-Level Data versus Summary Statistics 15. Other R/Stata Packages for Meta-AnalysisReviewsThe strengths of the second edition continue those of the first edition... A summary and discussion close the chapters, providing professionally generous recommendations for additional reading, software, and websites. Clearly, an applied hands-on approach intended to facilitate quickly moving readers to performing informed meta-data analyses. - Thomas E. Bradstreet, Journal of Biopharmaceutical Statistics, July 2022 ""The strengths of the second edition continue those of the first edition... A summary and discussion close the chapters, providing professionally generous recommendations for additional reading, software, and websites. Clearly, an applied hands-on approach intended to facilitate quickly moving readers to performing informed meta-data analyses."" - Thomas E. Bradstreet, Journal of Biopharmaceutical Statistics, July 2022 Author InformationDing-Geng (Din) Chen is a fellow of American Statistical Association and currently the Wallace H. Kuralt Distinguished Professor at the University of North Carolina-Chapel Hill, USA. Formerly, he was a Professor of Biostatistics at the University of Rochester, New York, USA, the Karl E. Peace Endowed Eminent Scholar Chair and professor in Biostatistics in the Jiann-Ping Hsu College of Public Health at Georgia Southern University, USA, and a professor of statistics at South Dakota Stata University, USA. Dr. Chen’s research interests include clinical trial biostatistical methodological development in Bayesian models, survival analysis, multi-level modelling and longitudinal data analysis, and statistical meta-analysis. He has published more than 200 refereed papers and co-authored/co-edited 30 book in statistics. Karl E. Peace is the Georgia Cancer Coalition Distinguished Cancer Scholar, Founding Director of the Center for Biostatistics, Professor of Biostatistics, and Senior Research Scientist in the Jiann-Ping Hsu College of Public Health at Georgia Southern University (GSU). Dr. Peace has made pivotal contributions in the development and approval of drugs to treat numerous diseases and disorders. A fellow of the ASA, he has been a recipient of many honors, including the Drug Information Association Outstanding Service Award, the American Public Health Association Statistics Section Award, The First recipient of the President’s Medal for outstanding contributions to GSU, and recognition by the Georgia and US Houses of Representatives, and the Virginia House of Delegates. Tab Content 6Author Website:Countries AvailableAll regions |