Statistical Evidence in Medical Trials - What Do the Data Really Tell Us?

Zusatztext This book provides an excellent way into assessment of the medical literature and covers the topics that should be covered ... eminently readable. Informationen zum Autor Steve Simon earned a Ph.D. in Statistics from the University of Iowa in 1982. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards, and he currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. Zusammenfassung Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals.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.

Product details

• Authors: Stephen Simon, Stephen D. Simon, Stephen D. (Office of Medical Research Simon, Simon Stephen D.
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 01.03.2006
• EAN: 9780198567608
• ISBN: 978-0-19-856760-8
• No. of pages: 216
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Medical research, Epidemiology & medical statistics, MEDICAL / Biostatistics, MEDICAL / Research, HEALTH & FITNESS / Healing, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics