Average Reviews:
(More customer reviews)This is a very well written and popular text on biostatistics. Altman writes for non-statisticians but the book is best suited for those with at least one prior course in statistics and those who have had mathematics through high school algebra. Emphasis is placed on the important practical problems. Good statistical designs and analyses are emphasized. The pitfalls with many published medical articles are discussed in Chapter 16.
I used this book to teach a 20 lecture course to students (engineers, clinicians and computer scientists) at Pacesetter in 1998 and at Biosense Webster in 1999 (both medical device companies that employed me as senior biostatistician). It was a good refresher course for the CRAs and engineers and it helped to make it easier for me to work with them on their statistical problems.
I have also taught a similar course to undergraduate students in the Health Science Department at Cal State Long Beach. Altman's book is a little too advanced to use as a text for that course but I did use it as a reference and covered material in Chapter 16 at the end of the course. Clear discussion of the medical literature is very important to these students and Altman does a great job!
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Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research.Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
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