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(16 reviews)
Author: Lisa M. Sullivan
ISBN : 1449623948
New from $36.65
Format: PDF
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Essentials of Biostatistics in Public Health, Second Edition 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. The text is accompanied by an online workbook: Statistical Computing Using Microsoft Excel (for Mac or PC). New Features of the Second Edition: • Learning objectives and more practice problems for every chapter • A new chapter on survival analysis • A new chapter on nonparametric statistics • Coverage of sensitivity, specificity, and performance of screening tests connecting probability to real and important applications • An expansion of the chapter on multivariable methods with more emphasis on interpretation of multivariable regression • A bank of questions for the audience response system (“clickers”) for instructors Looking for more real-life evidence? Check out Case 4 in Essential Case Studies in Public Health, Putting Public Health into Practice.
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- Paperback: 314 pages
- Publisher: Jones & Bartlett Learning; 2 edition (March 24, 2011)
- Language: English
- ISBN-10: 1449623948
- ISBN-13: 978-1449623944
- Product Dimensions: 0.8 x 8.3 x 10.6 inches
- Shipping Weight: 1.6 pounds (View shipping rates and policies)
Essentials Of Biostatistics In Public Health Free Download
This book is a basic text in most of the important aspects of biostatistics that are useful in public health research. It is designed for an introductory level course most likely for undergraduate majors in public health. A valuable aspect of the book is the author's experience with the Framingham Heart Study. Many of the examples are drawn from the data in that study, Also, the author provides some background about this famous study. There are plenty of examples. Figures, tables,key ideas and formulas are displayed in block form. The author does a very good job describing various types of research studies including clinical trials. Case - control studies which are important in epidemiology and hence for public health are covered nicely but a little more depth would have been helpful considering the importance of these studies to public health. For example there is no discussion of the various types of matching methods such as propensity score matching. It is an interesting point that high ratios of controls to cases do not add much accuracy over 2:1 or 3:1 ratios. But some examples illustrating the point would have helped a lot. Group sequential and adaptive designs are omitted. These designs are getting a lot of use in the pharmaceutical and medical device industries regarding clinical trials used to support NDAs and PMAs. The FDA has a great deal of interest in these trials and even published a guidance document about their use. Although the topic is somewhat advanced it is an important area in biomedical research and should be discussed in basic terms.
Contingency table analysis is essential to biostatistics in public health. While it is treated in Chapter 4 and Chapter 9, I believe it deserves a more thorough treatment, perhaps even a whole chapter.
This book is god awful when it comes to structure, variety, and explaining in a concise manner. Starting with structure, the book is very table and detail heavy. This makes for a frustrating combination because while details are typically appreciated especially in a statistics book, certain paragraphs will refer to tables that are sometimes a few pages over either because there is so much detail or so many damn tables. This involves flipping back and forth constantly between pages so you can figure out what the author is talking about and that makes studying this material absolutely tedious. As for variety, there is not much of a wide breadth of studies that make the book interesting. It deals with the Framington Heart Study heavily and little else. This may have its advantages insofar as its consistency keeps readers from getting confused but it makes for one of the most monotonous reads I have ever had in a textbook or any book for that matter. Finally, though I previously mentioned that details can be good for statistics books there is a point where too much detail can confuse the reader because it gives them too much to keep track of. That is certainly the case here and no additional favors are granted to this by the poor structure either. The only thing that honestly makes this book worth it is the online workbook which gives you a helpful hand in learning functions and statistical analysis in excel. Be warned though, because they put about a year and half limit as to how long you can access the workbook. This also means that if you want the most useful part of the textbook you pretty much have to buy a new copy out of sheer necessity.
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