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We have researched and compiled a list of the 7 Best Biostatistics Books that can help you learn about every aspect of it. They are suitable for beginners, intermediate learners as well as experts. Many professionals have already benefited from this compilation, hope you do too!
Best Biostatistics Books You Should Read
Here are our best picks:
Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding. Biostatistics For Dummies is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material.
Biostatisticians—analysts of biological data—are charged with finding answers to some of the world’s most pressing health questions: how safe or effective are drugs hitting the market today? What causes autism? What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? Biostatistics For Dummies examines these and other questions associated with the study of biostatistics.
- Provides plain-English explanations of techniques and clinical examples to help
- Serves as an excellent course supplement for those struggling with the complexities of the biostatistics
- Tracks to a typical, introductory biostatistics course
Biostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course
Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before.
The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
This new edition of Biostatistics: The Bare Essentials continues the tradition of translating biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike applaud Biostatistics as a practical guide that exposes them to every statistical test they are likely to encounter, with careful conceptual explanations and a minimum of algebra.
Biostatistics: The Bare Essentials is free of calculations and jargon, Bare Essentials speaks so plainly that you won’t need a technical dictionary. The focus is on the concepts, not the math. The objective is to enable you to determine whether the research results are applicable to your own patients. Throughout, you’ll find highlights of areas in which researchers misuse or misinterpret statistical tests. The authors have labeled these “C.R.A.P. Detectors” (Convoluted Reasoning and Anti-Intellectual Pomposity), and they help you identify faulty methodology and misuse of statistics.
Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard School of Public Health. In addition to these graduate students, many health professionals from the Harvard medical area attend as well.
The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty.
It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.
Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the author ensures that you understand concepts and develop skills in critical thinking, technology, and communication.
The result of collaboration between a biological sciences expert and the author of the #1 statistics book in the country, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for readers interested in the biological, life, medical, and health sciences.
Also Check; Best Epidemiology Books
Essentials of Biostatistics in Public Health, provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health.
Many examples are drawn directly from the author’s remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations.
A new chapter on data visualization and interpretation including guidance on reporting statistical results in tables, figures and text. Examples of well-organized, detailed and appropriately formatted tables and figures are provided along with samples of how best to interpret them. Examples of poorly organized tables and figures are also included to illustrate common misinterpretations of results, due in part to lack of clarity in presentation.
Designed to cover techniques for analysis of data in the animal sciences, this textbook provides an overview of the basic principles of statistics, enabling the subsequent applications to be carried out with familiarity and understanding, followed by more complex applications and detailed procedures commonly used in animal sciences.
Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background, and is supplemented with an abundance of examples in SAS from animal sciences and related fields.
What’s Inside in this Book:
- New, larger format and updated throughout to provide an essential resource whatever your level
- Now covers a wealth of new distributions and new material on non-normal dependent variables
- Includes both basic techniques and more complex procedures for a fully comprehensive coverage
- Contains exercises and many worked examples in SAS for practice and revision.