Statistical Evidence in Medical Trials: Mountain or Molehill, What Do the Data Really Tell Us?
| Author | : | |
| Rating | : | 4.76 (932 Votes) |
| Asin | : | 019856760X |
| Format Type | : | paperback |
| Number of Pages | : | 208 Pages |
| Publish Date | : | 2013-10-27 |
| Language | : | English |
DESCRIPTION:
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. Rebecca Rooney, International Journal of Epidemiology This book provides an excellent way into assessment of the medical literature and covers the topics that should be covered eminently readable. The tasteful humour injected throughout the text is just the perfect spoonful of sugar to make the
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, Missouri.. in Statistics from the University of Iowa in 1982. Steve
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.. Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research
I Teach Typing said outstanding. This book is an extremely well written and well organized discussion covering what makes a good paper good. It is not a mathematical statistics text. Instead it covers the methodological issues critical for good clinical research. The chapters cover: how control subjects are selected, who was not included, the size of the effects (as opposed to the p-values), collaborative data from other studies and meta analysis. The one "statistics" chapter has the best short coverage I have read on p-values, type I and II errors, confidence intervals, odds ratios/