Statistics Applied to Clinical Trials: Self-Assessment Book

ISBN-13: 9781402010965 / Angielski / Miękka / 2003 / 226 str.

Ton J. Cleophas; Charlotte Rolnick Schwab; Aeilko H. Zwinderman

Opis

The authors have taught statistics and given statistics workshops in France and the Netherlands for almost 4 years by now. Their material, mainly on power point, consists of 12 lectures that have been continuously changed and improved by interaction with various audiences. For the purpose of the current book simple English text has been added to the formulas and figures, and the power points sheets have been rewritten in the format given by Kluwer Academic Publishers. Cartoons have been removed, since this is not so relevant for the transmission of thought through a written text, and at the end of each lecture (chapter) a representative number of questions and exercises for self-assessment have been added. At the end of the book detailed answers to the questions and exercises per lecture are given. The book has been produced with the same size and frontpage as the textbook "Statistics Applied To Clinical Trials" by the same authors and edited by same publishers ( 2nd Edition, DordrechtiBostonlLondon, 2002), and can be applied together with the current self-assessment book or separately. The current self-assessment book is different from the texbook, because it focuses on the most important aspects rather than trying to be complete. So, it does not deal with all of the subjects assessed in the texbook. Instead, it repeats on and on the principle things that are needed for every analysis, and it gives many examples that are further explained by arrows in the figures.

Spis treści

Preface. Foreword. 1. Introduction to the staistical analysis of clinical trials, continuous data analysis. 2. Equivalence Testing. 3. Power, sample size. 4. Proportional data analysis, part I. 5. Proportional data analysis, part II. 6. Meta-analysis. 7. Interim analyses. 8. Multiple testing. 9. Principles of linear regression. 10. Subgroup analysis using regression modeling. 11. Relationship among statistical distributions. 12. Statistics is not bloodless algebra. 13. Bias due to conflicts of interests, some guidelines. Statistical tables. Answers to questions and exercises. Index.