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Essentials Of Biostatistics In Public Health (Essential Public Health), by Lisa M. Sullivan
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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.
- Sales Rank: #93598 in Books
- Published on: 2011-04-07
- Original language: English
- Number of items: 1
- Dimensions: 10.75" h x 8.50" w x .50" l, 1.70 pounds
- Binding: Paperback
- 314 pages
Most helpful customer reviews
5 of 5 people found the following review helpful.
Essentials of making your students' heads spin
By Martin Pearce-Vasquez
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. If your professor assigns this book, make sure you have lots of time to read it because its trifecta of unnecessary frustrations will take you a while to drudge through. I would recommend supplemental reading as well like that of Biostatistics: The Bare Essentials by Norman and Streiner. They actually manage to add humor to Biostatistics while avoiding the aforementioned problems. Only bad thing is that they don't use excel so you would still have to buy Sullivan's loathsome book.
1 of 1 people found the following review helpful.
A Very Good Book on a Very Difficult Subject
By zam
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.
0 of 0 people found the following review helpful.
Narrative learning.
By DLesnicki
A lot of narrative examples with references to tables or examples several pages earlier make following the formula with the numerical definition difficult. I like the formula summaries and practice questions. I wish the author had more clearly identified each calculation within the formula as sometimes it is not clear how the value is attained. The use of many acronymes is also difficult to remember the full term for the new student. I learn best by reinforcement and it is time consuming to try to go back several pages to verify and recall what the abbreviation represents. I am using the text for an online only class so this could be a major culprit to difficulties in understanding elements within the book.
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