Statistical Evidence in Medical Trials
Author: by Stephen Simon
Publisher: Oxford University Press, USA (May 4, 2006)
Format: PDF - 208 pages
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.
From Inside the eBook
1 Apples or Oranges? Selection of the Control Group 1.1 Introduction Almost all research involves comparison. I will use the terms treatment and exposure interchangably throughout this book, though I will reserve treatment for those conditions which represent an effort to produce a beneficial result and exposure to represent a condition that is potentially harmful. You want an apples-to-apples comparison. 1.1.1 Covariate imbalance Sometimes, however, you get an unfair comparison, an apples-to-oranges comparison. Women who take oral contraceptives behave, as a group, differently than other women. What happens, if the cabbages are planted a bit too closely, is that one of the cabbages will grow just a bit faster at first.
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