Fundamentals of Biostatistics

I used the book for an introductory course at U. of Maryland and I found myself to come back to this book over again to review the materials and concept. As I go on to learn more about statistics used in data mining of genomic data or reading science papers regarding gene mapping stochastic methods, I find myself go back to this book for reference and review the concepts; sometimes going back reading the concept, I learn something new that I did not understand before. I also find the flow charts that specifies the conditions and assumptions in the book extremely helpful. Also, many comments that the author gives in data analysis are valuable. Thus far this is the statistics book that I use for reference. I'm hoping that the author will write books in genomics or gene mapping.

This book is a necesary complement for epidemiology, and basic investigatigation. The chapter's organization is very adecuate for novice and experienced. Every chapter has an easy form to learn the content. The exercises are very congruent with the objetive of evry theme.

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.

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!

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.