- Emphasis on outliers is discussed by way of detection and treatment.
- Resampling statistics software is incorporated throughout.
- Motivating applications are presented in light of honest theory.
- Plentiful exercises are sprinkled throughout.
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"…a good textbook for an introductory course in biostatistics at the advanced undergraduate/beginning graduate level…covers a broader variety of topics that is usually found in comparable textbooks…" (The American Statistician, Vol. 58, No. 2, May 2004)
"...lucid writing style and numerous real-world examples add to the book's appeal and value...complex subject uniquely accessible..." (Zentralblatt Math, Vol. 1028, 2004)
“...the authors’ lucid writing style and numerous interesting real-world examples make a complex subject quite acc3essible to a diverse audience...I recommend this book to undergraduate statistics students, medical personnel, public health trainees, or nursing and medical students...would also make an excellent textbook for an introductory...biostatistics course.” (Mathematical Reviews, Issue 2004b)
"...the book is most successful in meeting the needs of students..." (Technometrics, Vol. 45, No. 4, November 2003)
Statistics is a vital discipline with growing applications across many industries, especially the ever-evolving field of health care, where it plays an essential part in the design of new medical devices, the implementation and analysis of clinical trials, and various epidemiological studies. In todays modern age of computing, both statistical methodology and its applications are expanding as rapidly as the technology will allow, resulting in an upsurge of new developments and more effective methodologies.
Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap addresses the need for a book that presents a basic, accurate, and up-to-date overview of statistical methodology as it applies to todays health care industry. The authors, both professionals in the areas of medical consulting and epidemiological research, provide balanced coverage of the latest developments in the industry, liberally illustrated with real-world examples. Students and professionals will find this text helpful in several important ways:
A lucid writing style and numerous real-world examples add to the books appeal and value, and make a complex subject uniquely accessible to a diverse audience including medical personnel, public health trainees, as well as nursing and medical students.
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Most Helpful Customer Reviews
18 of 18 people found the following review helpful:
5.0 out of 5 stars
A book that has a well balanced explanation with math and english.,
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This review is from: Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap (Wiley Series in Probability and Statistics) (Hardcover)
Biostatistics textbooks usually either concentrate on the math or the explanations, and end up giving an unbalanced idea of the subject at hand.
Texts that choose to have both as different modules, are generally large (therefore more or less reference), expensive and at times incoherent. I have come across a variety of texts dealing with the subject, from the popular Motulsky's book, Rosner, Dytham and even most of the Wiley series. I have found that this is one of those very few texts available that has a balanced explanation of stat with "the english of it" and "the maths of it". In general the book follows the same sequence as standard biostatistics courses offered at second year of university. However it assumes the reader knows very little, at that same token the book is not written in a conderscending manner. It is so well written that it can probably appeal to most readerships (undergraduate that is). It is not only an excellant primer but also a workable textbook.
3.0 out of 5 stars
sometimes excellent but spotty,
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This review is from: Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap (Wiley Series in Probability and Statistics) (Hardcover)
The author had some sections with great explanations (like sections on bootstrap) but some chapters were overly simplistic or overly complicated. The mathematical parts were neither simple enough for a non mathematician nor extensive enough for someone with a mathematics background to follow. I think the book would have benefited from discussing less subjects but in more detail. Examples would also have helped. The sections on software omit R, which was probably because this was fairly new when the book was written. Several sections referred to StatXact without even naming the tests.
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