
Statistical Evidence in Medical Trials
What do the data really tell us?
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Product details:
- Publisher OUP Oxford
- Date of Publication 23 February 2006
- ISBN 9780198567615
- Binding Paperback
- No. of pages216 pages
- Size 233x157x12 mm
- Weight 340 g
- Language English
- Illustrations Numerous tables, figures and line drawings 0
Categories
Short description:
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.
MoreLong description:
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.
Clearly this book is not 'just another statistics book.' Rather, it borders on the side of being revolutional - a statistics book without numbers! While this might be considered near sacrilege in the world of pure statistics, for the purposes of inciting balanced, practical, evidence-based clinical decision-making, it is nearly a 5-star resource. The tasteful humour injected throughout the text is just the perfect spoonful of sugar to make the medicine go down.
Table of Contents:
Preface
Overview
Apples or Oranges?: Selection of the control group.
Who was Left Out?: Exclusions, refusals, and drop-outs
Mountain or Molehill?: The clinical importance of the results
What do the Other Witnesses Say?: Corroborating Evidence
Do the Pieces Fit Together?: Systematic overviews and meta-analysis
What do All these Numbers Mean?
Where is the Evidence?: Searching for information