Statistical Evidence in Medical Trials : What Do the Data Really Tell Us?
"Statistical Evidence in Medical Trials" is a lucid, well-written and entertaining text that addresses common pitfalls in experimental design. With extensive use of real world examples and a non-technical account of the statistics used in hypothesis testing, such as p-values and confidence intervals, this book is ideal for students and researchers in statistics, health care professionals, and anyone needing to correctly analyse and assess statistical data. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control. The contents include: Preface; Apples or oranges? Selection of the control group; 'Who was left out?'; Mountain or molehill? The clinical importance of the results; 'What do the other witnesses say?'; Corroborating evidence; 'Do the pieces fit together?';; 'What do all these numbers mean?'; 'Where is the evidence? Searching for information; Bibliography; and an Index.
- 01 Dec 2006
- Oxford University Press
- Oxford, United Kingdom