Understanding Clinical Data Analysis

Preface.- Randomness.- Randomized and Observational Research.- Randomized Clinical Trials, Designs.- Randomized Clinical Trials, Analysis Sets, Statistical Analysis, Reporting Issues.- Discrete Data Analysis, Failure Time Data Analysis.- Quantitative Data Analysis.- Subgroup Analysis.- Interim Analysis.- Multiplicity Analysis.- 

Medical Statistics, a Discipline at the Interface of Biology and Mathematics.-Index.

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 choose the best-help-there-is for making difficult issues understandable, that is real data examples from the global literature rather than hypothetical examples.

The authors have been working and publishing together for 18 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 philosophy, 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 otherhealth workers, and they hope, that the current production will help them find the appropriate ways for answering their scientific questions.   Four 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 2nd edition, 2015, Clinical Data Analysis on a Pocket Calculator 2nd edition, 2016, all of them edited by Springer Heidelberg Germany.