A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences CD-ROM performs 30 statistical tests Don't be afraid of biostatistics anymore! Primer of Biostatistics,7th Edition demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you'll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently.
Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension.
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Stanton A. Confidence intervals How to test for trends Experiments when each subject receives more than one treatment Alternatives to analysis of variance and the t test based on ranks How to analyze survival data. Have doubts regarding this product? Post your question. Safe and Secure Payments. Illustrative examples and challenging problems, culled from recent biomedical literature, highlight the discussions throughout and help foster a more intuitive approach to biostatistics.
Features new 2-color graphs to better illust Focuses on practical areas of statistics in terms of their relevance to biomedical applications, statistical hypothesis testing and estimation. Features new 2-color graphs to better illustrate principles and a new, 2-color design Packaged with or without the book, the software program offers an easy-to-use menu driven program which performs over 15 commonly used statistical tests featured in the text, or input your own algorithms.
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Primer of Biostatistics, Seventh Edition
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I thought this was a really well-written textbook for being an introduction to practical statistics. I appreciate the use of examples illustrating studies using of the different methods. In general, the authors could have afforded to include more details perhaps in explaining how some of the expressions are derived , but overall I think the authors struck a great balance between theory and application - for those who care more about how to use statistics rather than understand statistics. I have not read the entire book, only a few chapters that I needed.
This is a good book as long as you are looking for an introduction to statistics. The book includes many practical examples which helps with learning how to apply the theory.
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If you want to learn about more advanced concepts post-hoc analysis, internal reliability scores, etc.