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Medical Statistics at a Glance, Second Edition (At a Glance)

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Medical Statistics at a Glance - Aviva Petrie, Caroline Sabin

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Medicine at a Glance Patrick Davey. Ophthalmology at a Glance Jane Olver. Medical Sciences at a Glance Michael D. Physiology at a Glance Roger W. Surgery at a Glance Pierce A. Looks like you are currently in Finland but have requested a page in the United States site. Would you like to change to the United States site? Aviva Petrie , Caroline Sabin. This comprehensive workbook contains a variety of self-assessment methods that allow readers to test their statistical knowledge, put it into practice, and apply it in a medical context, while also providing guidance when critically appraising published literature.

Medical Statistics at a Glance, 3rd Edition

It is designed to support the best-selling third edition of Medical Statistics at a Glance , to which it is fully cross-referenced, but may be used independently of it. Medical Statistics at a Glance Workbook is the ideal resource to test statistical knowledge and improve analytical and interpretational skills.

Additional resources are available at www. Rating details. More filters. Sort order. Aug 04, Mohamed Issam rated it really liked it. The book content is clear, straightforward and simple. I love its examples as they give you the clinical sense of the tests. The drawback is that the book is not related to some software packages like SPSS.

This made the authors to write equations and analyses that otherwise could be done with SPSS. I would recommend the book to junior doctors and to my fellow medical students. It will help you digest the topics. Link: https: The book content is clear, straightforward and simple. And, you need to pursue further advanced books. Dense, but also very basic. Not all of it was known stuff, but a lot of it was and the coverage was highly superficial - though this could not possibly be avoided given the page count.

The number of topics covered is high due to the format, which seems quite problematic in the specific context; it seems quite likely that people reading a book like this will end up thinking they know a lot more statistics than they actually do, and so become overconfident when evaluating research or conducting da Dense, but also very basic. The number of topics covered is high due to the format, which seems quite problematic in the specific context; it seems quite likely that people reading a book like this will end up thinking they know a lot more statistics than they actually do, and so become overconfident when evaluating research or conducting data analyses of their own.

Some questionable assumptions and approaches are occasionally seen in the book in specific contexts, but I'm not sure I consider this to be a major problem as the question of how to optimize the level of precision is likely quite difficult when writing books like this one, which is presumably in part aimed at people with limited knowledge of quantitative methods. A big problem is that the scope of the book is too wide, in my opinion; if a book finds that it is necessary to tell people how to calculate the mean value of a sample, that same book should not be telling you stuff about things like proportional hazard models.

The guy who needs to read the first part will get only an illusory knowledge of the latter, and the guy who's only interested in the latter will do a lot better by just reading a specific text dealing with the sub-topic of interest, instead of limiting himself to the 3 pages the book might devote to the relevant topic. I think the 'at a glance' concept is questionable when dealing with topics such as those covered in this book; either that or the authors failed in their application. It's not a terrible book, but it's also not very good.


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  • I liked Fletcher and Fletcher , which sort of deals with similar stuff even though there are also some substantial differences in terms of topics covered, better. Feb 20, Hadeer rated it liked it Shelves: pdf , medical-books.

    Although the book talks mainly about basic terms in statistics, it is quite sophisticated. Elizabeth Kapasa rated it it was amazing Jan 11, Al3gip PT rated it it was amazing Oct 03, Rosalind rated it it was amazing Apr 23, Annette rated it really liked it Feb 06, Middlethought rated it it was amazing Aug 06,