Modern Meta-Analysis

The authors are well-qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015), and Professor Cleophas is past-president of the American College of Angiology (2000-2002). From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors have been working and publishing together for 17 years, and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics.The authors as professors and teachers in statistics at universities in The Netherlands and France for the most part of their lives, are convinced that the scientific method of statistical reasoning and hypothesis testing is little used by physicians and other health workers, and they hope that the current production will help them find the appropriate ways for answering their scientific questions.Three textbooks complementary to the current production and written by the same authors are Statistics applied to clinical studies 5th edition, 2012, Machine learning in medicine a complete overview, 2015, SPSS for starters and 2nd levelers, 2015, all of them edited by Springer Heidelberg Germany.

• Preface.- Meta-Analysis in a Nutshell.- Mathematical Fram-ework.- Meta-Analysis and the Scientific Method.- Meta-Analysis and Random Effects Analysis.- Meta-Analysis Software Programs.- Meta-Analysis of Randomized Controlled Trials.- Meta-Analysis of Observational plus Randomized Studies.- Meta-Analysis of Observational Studies.- Meta-Regression.- Meta-Analysis of Diagnostic Studies.- Meta-Meta-Analyses.- Network Meta-Analysis.- Random Intercepts Meta-Analysis.- Probit Regression.- Meta-Analysis with General Loglinear Models.- Meta-Analysis with Variance Components.- Ensembled Correlation Coefficients.- Ensembled Accuracies.- Meta-Analyses with Multivariate Assessments.- Transforming Odds Ratios into Correlation Coefficients.- Meta-Analyses with Direct and Indirect Comparisons.- Contrast Coefficients Meta-Analysis.- Meta-Analysis with Evolutionary Operations.-