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Fundamentals of Biostatistics Hardcover – August 19, 2010

ISBN-13: 978-0538733496 ISBN-10: 0538733497 Edition: 7th

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Product Details

  • Hardcover: 888 pages
  • Publisher: Cengage Learning; 7 edition (August 19, 2010)
  • Language: English
  • ISBN-10: 0538733497
  • ISBN-13: 978-0538733496
  • Product Dimensions: 10.2 x 7.9 x 1.6 inches
  • Shipping Weight: 3.9 pounds (View shipping rates and policies)
  • Average Customer Review: 2.1 out of 5 stars  See all reviews (22 customer reviews)
  • Amazon Best Sellers Rank: #15,045 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

Bernard Rosner is Professor in the Department of Medicine, Harvard Medical School, and the Department of Biostatistics at the Harvard School of Public Health. Dr. Rosner's research activities currently include longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error, and modeling of cancer incidence data.

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Customer Reviews

The equations don't show up and none of the tables show up correctly.
lsgrant
If you are a student who needs this book for a class and you have not had a statistics class before, I would recommend you also buy a supplementary text.
Steph
Which is not useful because the paperback is the international edition.
scapegoat

Most Helpful Customer Reviews

33 of 34 people found the following review helpful By S. Bartell on February 7, 2011
Format: Hardcover
This is the second year that I've taught introductory public health statistics out of Rosner's book.

Pros:

* Good sections on probability and fundamentals of inference that show enough of the derivations to allow the better students to appreciate the mathematical basis, without making that the emphasis of the text.
* Includes a brief discussion of Bayesian inference and simple examples. This constitutes a very small fraction of the book, but is typically absent from introductory biostatistics texts.
* As much emphasis on poisson and binomial models as normal models. This is critical for public health students!
* Great section on epidemiologic methods in the final chapters, including logistic regression.
* Good coverage of exact methods and a short chapter on classical non-parametrics.
* Includes some discussion of missing data analysis.
* Hundreds of homework problems to choose from at the end of each chapter, with solution sets available online to registered course instructors.

Cons:

* The two-tailed p-value is always described as 2 times the one-tailed p-value, which is fine for symmetric sampling distributions but not so good for binomial and poisson distributions. This is a big source of confusion in my class, as it's inconsistent with R.
* An antiquated emphasis on calculating critical values for hypothesis tests, rather than using p-values or confidence intervals.
* The chapter on two-sample t-tests instructs students to assume equal variances if a formal hypothesis test for equal variances does not result in rejection of the null. This is ill advised and makes the entire chapter needlessly complicated.
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18 of 19 people found the following review helpful By lsgrant on September 2, 2012
Format: Kindle Edition
The Kindle edition is essentially useless. The equations don't show up and none of the tables show up correctly. I have homework in this class for which I have to use this book and I am EXTREMELY disappointed that I have to inconveniently commute back and forth to the library to photocopy multiple pages from the text--spending more money, which is what I was trying to avoid by having the Kindle edition. You should take this off as something you can purchase. I wouldn't even want it if it was free!
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7 of 7 people found the following review helpful By scapegoat on October 5, 2011
Verified Purchase
Here's the thing, I needed to buy the 7th edition of this book for a class. Turns out Amazon has a paperback and it's a lot less money. That is great except when you click on the zoom to see the front cover for the paperback, you do not see the paperback. Which is not useful because the paperback is the international edition. Now I have a book that does not match up with my assignments. Awesome, Amazon. Thanks a ton. I think it's folly to sell these two books side by side as if they are completely interchangable.
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9 of 11 people found the following review helpful By 50 something physician, teacher, scientist on December 10, 2013
Format: Hardcover Verified Purchase
This is the 7th Edition, yet the Harvard staff appears not have enough competent staff nor funds to edit and proofread texts, nor correct medical and general biological information errors they produce. I studied at Harvard for a specific public health project, and found that there is a distinct information transmission disconnect among many Harvard professors. So, if they don't have the skill or patience to explain a concept or answer a question, they simply skip over that section, provide a skeletal description, or speed up if they are speaking. I will step far out on a limb here and risk being shot at, but I think my suggestion is solid: Harvard folks should not write basic or summary texts. If they do attempt such an endeavor, they should have a co-author who is a mere mortal, someone who cares enough to truly explain concepts to the masses of lower forms of life who don't work at Harvard and were not "trained" to ignore the masses by attending Harvard.
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7 of 8 people found the following review helpful By Whitaker on June 12, 2012
Format: Hardcover
I grew frustrated with this book and sought out other ones, but in the end I returned to this book, because it is more comprehensive and contains more examples. These are easily its biggest strengths. But there are two huge, immensely frustrating downsides:

1. The language is downright incomprehensible. It is overly technical; it is entirely math-speak; he will use symbols and equations over words any day, including in a regular paragraph. When he wants to explain a concept, he often does so by deriving it mathematically through a series of half a dozen equations instead of just explaining in plain english what the statistical test does. There are times when I'm exasperated from trying to read two dozen mathematical equations trying to understand his point, only to look in another textbook and realize it was something I already knew and to laugh -- he had literally made something I already knew completely unrecognizable.

2. The author's habit of referring to previous examples and equations by their numbers only, for example "Equation 6.14", without reminding you what they were about. Sometimes he refers to an example or equation all the way back in the previous chapter like this, like you were supposed to just have memorized "Equation 6.14". It requires you to flip back and forth a whole lot.

For example in the first two sentences of section 7.8 ... well into chapter 7 ... he writes, "One limitation of the methods of interval estimation in Section 6.5 is that it is difficult to make direct statements such as Pr(c1 < ' < c2) = 1 ' '. Instead, we have made statements such as Equation 6.7." Of course, he doesn't remind you what Equation 6.7 is. You're just supposed to remember equation 6.7 and section 6.5, which were in the previous chapter.
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