Fundamentals of Biostatistics (with CD-ROM) this question feed

asked by speed5599 on November 22, 2006 9:36 PM
Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.


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I was assigned this text for my biostatistics class. Unfortunately, it is a poorly designed textbook, as everything is 'backwards'. Rosner gives examples before he introduces the material; he derives formulas before giving the real equation to use.
The only good thing about the text are the summaries included on the CD-rom. I have decided to read these instead of the actual text, because they are straightforward and leave out extraneous material.
reviewed by dataworld on November 27, 2006 10:51 PM

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I'm currently an undergraduate student at Univ. South Florida majoring in social work (BSW). I am also doing a math minor because I plan on going on to graduate school in a dual program, social work (MSW) and public health-biostatistics (MSPH).

Having read through the first five chapters (can't put the book down), I found this textbook gives just enough information on the subject matter without going into math theory. Afterall, biostatistics is an applied field not theoretical.

This is a perfect textbook to get primed in the field of biostatistics. I cannot wait to finish this text and learn more theory and history of the many facets that biostatistics has to offer as it relates to the behavioral sciences.

The one drawback about the book is that it does not offer much on how to use a statistical analysis software package, rather it assumes knowledge in this area and just provides the data sets used in the book. A supplimental workbook for this text on the after mentioned topic would be wonderful.
reviewed by bethness on November 28, 2006 9:56 PM

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This is an easy-to-read volume on the implementation of statistics for medicinal applications. The author describes the following:

- measures of location i.e. medium white blood counts
- properties of the standard deviation and special case analyses
- graphic methods
- laws of probability
- gynecological problems
- demographic problems and inference
- hypothesis testing and confidence interval analysis
- goodness of fit for regression problems

This work would have a wide audience of readers throughout the
medical world. It is priced reasonably for consumer-conscious
purchasers. The author provides a rendition geared to practitioners. Much of the work is crafted for technical
analysis by professionals , as opposed to theoretical mathematics. For instance, the volume is useful to confirm
medical hypotheses within predefined confidence intervals.

Some reviewers have indicated that the later part of the text
is complicated. For instance, the t-distribution and estimation
techniques may require a simpler explanation. In college, I took
nine reasonably rigorous courses in higher mathematics.
During those courses, I found that the Schaum's Outlines were
good in the areas of calculus, differential equations,
linear algebra, probability and statistical inference. Each
outline provided nearly 1000 solved problems with both theory
and practice explained comprehensively. Students of the Rosner
text would be helped immensely by the Schaum's Outline Series.
This acquisition is still quite good for the price charged.
reviewed by hooked on November 29, 2006 3:36 PM

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People usually dislike textbooks. Textbooks tend to be voluminous and expansive on the simplest of topics.

Not so with this book. Even after 10 years, this textbook (much older edition) still is my handy reference. Certainly, this would be a starter text in statistics, but it covers the most essential and most frequently used facets of the topic very well. The examples and illustrations are very well presented and the concepts are lucidly explained.

Certainly a good addition to your library!
reviewed by reviewer on November 29, 2006 6:29 PM

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I used this book while pursuing my master's degree in epidemiology. I really enjoyed it and as a result, today I'm pursuing my DrPH in biostatistics. If you are really into understanding statistics, this is your book. If you are only interested in passing a course and surviving the ODDS, I refer you to Daniels' book, it's simpler and lets just say...less complicated.
reviewed by macfan on November 29, 2006 7:10 PM

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