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Basic & Clinical Biostatistics
 
 
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Basic & Clinical Biostatistics (Paperback)

by Beth Dawson (Author), Robert Trapp (Author) "The goal of this text is to provide you with the tools and skills you need to be a smart user and consumer of the..." (more)
2.5 out of 5 stars  See all reviews (2 customer reviews)

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Product Description

Book Description

Here is absolutely everything medical students need to know about biostatistics and quantitative methods as applied to medicine, clinical practice, and research. Case study approach introduces problems at the beginning of each chapter, to clarify concepts. Includes CD-ROM of data sets.

Book Info

Southern Illinois Univ., Springfield. Introduction to the study of statistics applied to medicine and other health-related fields. Includes studies published in the medical literature, CD-ROM with statistical software and data sets, end-of-chapter questions, and a multiple-choice final practice exam. Previous edition: c1994. Softcover.
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The goal of this text is to provide you with the tools and skills you need to be a smart user and consumer of the medical statistics. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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2.5 out of 5 stars (2 customer reviews)
 
 
 
 
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1.0 out of 5 stars Avoid it if you can, Dec 8 2003
By A Customer
Its obvious from reading the first few chapters that the authors lack a basic understanding of the subject. For example they talk of Odds Ratio as if it was same as Relative Risk. The good thing is that they cover everything - you only have to be careful while reading it. The errata in the book is pretty obvious but the authors seem to have no time or inclination to update the website of this book.
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4.0 out of 5 stars Book Review for the 2nd edition:,, Sep 8 2001
By "chieftejano" (Escuela de Medicina Ignacio Santos Instituto Tecnológico de Estudios Superiores de Monterrey (ITESM-EMIS)) - See all my reviews
A hard plus if your looking for pregrad. introductory clinical biostatistics. However I agree with other reviews that the layout or format could be arranged more powerfully, and the mechanics explained with more and better examples with a little more detail. Some of the examples in the book are excellent. I, especially, liked the Methods for Analyzing Survival. I disliked the explanations on statististical power as well as calculating sample populations necessary (n=?)to obtain clinical significance. This book is a good bone to start knawing on, however, the meat is found in other supplemental texts; therefore, reference footnotes are needed which- nowadays- should include, reference books, journals and webpages.
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