Title: Essentials of Biostatistics in Public Health (Essential Public Health) Pdf
Author: Sullivan
Published Date: 2017-02-17
Page: 376
Professor and Chair, Department of Biostatistics, Boston University School 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.
The Third Edition offers 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.
The text comes packaged with an access code card that gives your students access to an online workbook for statistical computing using Microsoft Excel. The online workbook is available in both Mac and PC versions.
Updates to the Third Edition:
• New chapter on data visualization and interpretation
• New "When and Why" sections in each chapter include timely examples of important medical and public health applications of biostatistical techniques to help students connect the technical aspects of how specific analyses are conducted to real and relevant applications. New suggestions for instructors to facilitate in-class discussions around these applications and their interpretation are included in the instructor resources
• New examples from widely publicized clinical trials and from relevant and timely studies added throughout.
• New integrative exercises included in the instructor resources that allow students to practice biostatistical analysis with real data using Excel.
• New link to a publicly available, longitudinal dataset containing data collected in the Framingham Heart Study
A Very Good Book on a Very Difficult Subject We had to use this textbook for my biostatistics class, and I was pleasantly surprised with it. I've taken a lot of science/statistics classes in the past, and do understand that many times statistic books can be somewhat difficult to comprehend. However, this is not the case with this book. The book was very well written, and easy to understand as long as you spent sufficient time to study and comprehend the material. Don't be fooled, biostatistics can be a very difficult subject to grasp (I spent HOURS studying), but this book does a very good job of explaining it as best as it can. Many of the 3- star ratings will be from those who are grading their review of the book based upon the difficulty of the subject, not on the content within the textbook.The only chapter that I found to not be very helpful was a later chapter on multiple linear regression analysis. The online material here, helps you to understand much better and fill in the gaps that the physical textbook left out. Being in chapter 8, and having to refer back to the same example back in chapter 3 over and over again, can get kind of annoying as well, but aside from these two very minor issues (well, ok, 1 minor issue. I missed 4 questions on my final from the multiple linear regression analysis crahp. That needs to be fixed.) the textbook was very well written, gave clear examples, and was very fair in its review questions at the end of each chapter.Okay It is a text book which arrived with the a few pages ripped and or bent but it was still okay for reading.Confusing I'd be lying if I said biostats wasn't confusing to begin with. Coming from the human services field (not the math or science field) I knew it would be a challenge but this book does very little to help. Usually the first part of the chapters makes sense and gives you some basic information about definitions and why we use certain formulas, but then when it jumps into the formulas themselves it does a poor job of explaining the process or what occurs.
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