Average Reviews:
(More customer reviews)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/relative risks, survival analysis, prevalence and incidence. Finally there is a very brief but exceptionally useful chapter on searching for medical articles using tools beyond to the common ones like PubMed.
One standout feature of this book is the authors use of illustrative clinical examples. Every main topic is supported by references, with brief summaries of interesting research articles. The organization allows these examples to flow nicely and to reinforce the author's points.
Another great feature is the use of summary sections that can be turned into checklists for reviewing articles.
If you are looking for a book on how to evaluate the methodological issues in research get this.
Click Here to see more reviews about: Statistical Evidence in Medical Trials: Mountain or Molehill, 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 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.
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