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Biostatistics Decoded [Paperback]

A. Gouveia Oliveira
4.5 out of 5 stars  See all reviews (11 customer reviews)
Price: 40.00 & FREE Delivery in the UK. Details
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Book Description

30 Aug 2013 1119953375 978-1119953371 1
Study design and statistical methodology are two important concerns for the clinical researcher. This book sets out to address both issues in a clear and concise manner. The presentation of statistical theory starts from basic concepts, such as the properties of means and variances, the properties of the Normal distribution and the Central Limit Theorem and leads to more advanced topics such as maximum likelihood estimation, inverse variance and stepwise regression as well as, time–to–event, and event–count methods. Furthermore, this book explores sampling methods, study design and statistical methods and is organized according to the areas of application of each of the statistical methods and the corresponding study designs. Illustrations, working examples, computer simulations and geometrical approaches, rather than mathematical expressions and formulae, are used throughout the book to explain every statistical method. Biostatisticians and researchers in the medical and pharmaceutical industry who need guidance on the design and analyis of medical research will find this book useful as well as graduate students of statistics and mathematics with an interest in biostatistics. Biostatistics Decoded : Provides clear explanations of key statistical concepts with a firm emphasis on practical aspects of design and analysis of medical research. Features worked examples to illustrate each statistical method using computer simulations and geometrical approaches, rather than mathematical expressions and formulae. Explores the main types of clinical research studies, such as, descriptive, analytical and experimental studies. Addresses advanced modeling techniques such as interaction analysis and encoding by reference and polynomial regression.

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Product details

  • Paperback: 346 pages
  • Publisher: Wiley-Blackwell; 1 edition (30 Aug 2013)
  • Language: English
  • ISBN-10: 1119953375
  • ISBN-13: 978-1119953371
  • Product Dimensions: 22.6 x 15 x 1.8 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Bestsellers Rank: 276,221 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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From the Back Cover

Study design and statistical methodology are two important concerns for the clinical researcher. This book sets out to address both issues in a clear and concise manner. The presentation of statistical theory starts from basic concepts, such as the properties of means and variances, the properties of the Normal distribution and the Central Limit Theorem and leads to more advanced topics such as maximum likelihood estimation, inverse variance and stepwise regression as well as, time–to–event, and event–count methods. Furthermore, this book explores sampling methods, study design and statistical methods and is organized according to the areas of application of each of the statistical methods and the corresponding study designs. Illustrations, working examples, computer simulations and geometrical approaches, rather than mathematical expressions and formulae, are used throughout the book to explain every statistical method. Biostatisticians and researchers in the medical and pharmaceutical industry who need guidance on the design and analyis of medical research will find this book useful as well as graduate students of statistics and mathematics with an interest in biostatistics Biostatistics Decoded : Provides clear explanations of key statistical concepts with a firm emphasis on practical aspects of design and analysis of medical research. Features worked examples to illustrate each statistical method using computer simulations and geometrical approaches, rather than mathematical expressions and formulae. Explores the main types of clinical research studies, such as, descriptive, analytical and experimental studies. Addresses advanced modeling techniques such as interaction analysis and encoding by reference and polynomial regression.

About the Author

A. Gouveia Oliveira , Department of Pharmaceutical Sciences, Federal University of Rio Grande do Norte, Brazil 

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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
4.0 out of 5 stars A primer for quantitative methodologies 13 Dec 2013
By Paul S Ell HALL OF FAME TOP 50 REVIEWER VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
First, I should say that I am not a biostatistician. I do however use quantitative methods in my work and was interested to see if this book contained methodologies which were transferable. The book is well illustrated containing a host of examples relating to quantitative methods. It also can be used as an introductory text as it starts with the most basic statistical techniques and steadily builds on these. Even the most complex methods are well explained although here the focus on biostatistical references I found more difficult to relate to.There are also some quantitative approaches I'd like to have seen but were not covered, I expect because they don't easily relate to the subject focus.

So did I discover transferable techniques, well to a degree yes. It was also good to see how statistics are being used in other disciplines. As such I think the book is worth 5 stars but with the caveat that a biostatistician might find other strengths or weaknesses with the book.
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5.0 out of 5 stars Aptly titled - biostatistics decoded 20 Feb 2014
By Uenna TOP 500 REVIEWER VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
A well written and easy to follow book on study design and statistical methodology. It starts from basic concepts of simple statistics like the mean, the variance, and properties of normal distribution and gradual leads to more advanced topics such as maximum likelihood estimation, inverse variance, stepwise regression, study designs etc.
What I liked best about it is the simplicity of the language which makes it easy to follow and understand. It is very reader friendly and it really leads on in a stepwise fashion from basic principles to complex. I.like it very much and I recommend.
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By Amazon Customer VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
As a market researcher I thought this book was going to be highly relevant, however it is more suited towards someone seeking to publish. The book is in depth, and gives a thorough understanding of how to gather, analyse and present data to give meaningful results.
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By Lilly Penhaligon VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
I used this book to teach myself all the statistics I needed to complete my phd and get it published. I have studied statistics before on an undergraduate degree but usually performed dismally in all the end of term exams. When I started my phd I attended all the obligatory stats lectures and yet still couldn't apply the ideas to real world research. Oliveira does a magnificent job of explaining complex things in a very accessible way. After reading the sections of this book relevant to my particular studies, I could't understand why I didn't understand stats before this! At the end of my phd when writing up into the early hours of the morning I was still able to pick up this book go over a section and double check my approach in my own work with ease and clarity of understanding. I also used this book as a revision aid prior to the viva in case I was quizzed on my stats. Never again shall I fear stats because all it takes is a good explanation. If you are using statistics in real world or degree level research, this book will be an asset to you.
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5.0 out of 5 stars An intelligent book. 18 Jan 2014
Format:Kindle Edition|Verified Purchase
"If you can't explain it simply, you don't understand it well enough." Albert Einstein. The author does explain it simply and the book is one of its kind if you need to understand the statistical reality behind scientific evidence. It is both a good starting point and an anchor when you have to evaluate the merits of the scientific papers you read. I know personally the author, but I do not think my opinion is clouded by that fact.
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By antom
Format:Paperback|Vine Customer Review of Free Product (What's this?)
I have read a few statistics books over the years, but reading Biostatistics Decoded gave me many "ah-ha, now I get it" moments. The author, Oliveira, has a gift for explaining things clearly and supports this by including very helpful examples and analogies. The principles behind clinical research studies and statistics are explained well. This is a book that non-mathematicians will appreciate especially. Even so, the coverage and depth are not skimped.

If you are looking for a brief step-by-step guide to choosing and doing statistical tests, then this probably isn't the book for you. However, if you have already looked at such books and still feel unconfident, or you want a book that offers a good integration of the principles of both statistics and medical research design, or you just want to gain a better understanding of statistical analysis for medical research, then this book is a very good choice.
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