Review of Primer of Biostatistics, Seventh Edition by Stanton A. Glantz
If you are looking for a concise and engaging introduction to understanding statistics as they apply to medicine and the life sciences, you may want to check out Primer of Biostatistics, Seventh Edition by Stanton A. Glantz. This book 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.
With Primer of Biostatistics, youâll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. 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. The book also comes with a companion CD-ROM that contains everything you need to run thirty statistical tests of your own data.
The book covers topics such as:
How to summarize data
How to test for differences between groups
The t test
How to analyze rates and proportions
What does ânot significantâ really mean
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
The book also combines whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, making the subject fun and engaging. The author is a professor of medicine and a distinguished professor in tobacco control at the University of California, San Francisco. He has extensive experience in teaching biostatistics to medical students, residents, fellows, and faculty.
If you are interested in learning more about this book, you can find it online at various sources[^1^] [^2^] [^3^]. You can also read some reviews from other readers and see a preview of some pages. Whether you are a student, a researcher, or a clinician, Primer of Biostatistics can help you master the essential concepts and methods of biostatistics.
One of the strengths of Primer of Biostatistics is that it explains the concepts and methods in a clear and simple way, without using too much mathematical jargon or formulas. The book also provides plenty of examples and exercises to help you apply what you learn to real-world situations. The book also includes review questions and summaries at the end of each chapter to help you gauge your comprehension and reinforce your learning.
Another strength of Primer of Biostatistics is that it covers a wide range of topics that are relevant and useful for biomedical research and practice. The book not only teaches you how to perform basic statistical tests, but also how to interpret and communicate the results, how to deal with common problems and pitfalls, and how to critically evaluate the quality and validity of published studies. The book also introduces you to some advanced topics, such as survival analysis, multiple regression, and meta-analysis, that can help you answer more complex and sophisticated questions.
A potential limitation of Primer of Biostatistics is that it may not go into enough depth or detail for some readers who want to learn more about the theoretical foundations or mathematical derivations of the statistical methods. The book also does not cover some specialized topics, such as nonparametric methods, Bayesian statistics, or multivariate analysis, that may be relevant for some fields or applications. However, the book does provide references and suggestions for further reading for those who want to explore these topics further. aa16f39245