Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves.
Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression.
By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.

Customer Reviews:

Avg. Customer Rating: 4.5 / 5.0

Intuitive Biostatistics and Me:

This is an excellent addition to my personal, work library of biostatistics and statistics textbooks. I purchased it specifically since it has a formula for calculating confidence intervals for ratios. This formula was not in my favorite statistics textbook, "Statistical Methods" by Snedecor and Cochran. I highly recommend "Intuitive Biostatistics" to other routine users of statistical methods in the field of biology.

A fantastic resource:

This text is by far the most readable book on statistics I've ever read. In addition, the software written by this author (GraphPad Prism) is also the most user-friendly and intuitive package available. In my opinion, the major benefit of this book is that it gets the reader to understand the conceptual basis of various experimental designs and statistical analyses, rather than blindly dumping data into a statistical package and hitting "go".

Invaluable stats handbook for nonmathematicians:

One of the best handbooks I have ever seen in any subject. Since statistics or generaly mathematics is pretty hard for biologists to lern, it require special teching aproach designed to demonstrate logics behind statistical concepts. This book is uniquely doing exectly that. I have used several books in statistics for biologists, including small intorductory material and heavyweight Biometry, as well as numerous online stat dedicated sites. This is the book I strongly recommend for the bigginers interested... more info

Excellent book:

This book goes straight to the point, assisting you in making the proper decisions with the statistical tests you need to use. Well written, well organized. A really good book coming from the same person who brought us a really good software (Prism).

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