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Statistical Methods in Medical Research [Illustrated] [Hardcover]

Peter Armitage (Author)
4.3 out of 5 stars  See all reviews (6 customer reviews)


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Book Description

February 1971
This popular book is recognised as a standard text for medical researchers and statisticians advising in medicine. Its first edition was reprinted six times. This new edition continues to cover basic principles, techniques of varying complexity, and applied statistical methods, and now contains a new chapter on statistical computation.
--This text refers to an out of print or unavailable edition of this title.


Editorial Reviews

Review

"the one to turn to" Community Health Studies "outstanding,... has no rival and is cheap at the price" International Journal of Epidemiology "the strengths of the book are in the quality of the exposition and the extensive use of real examples" Colin Begg, Department of Biostatistics, Dana-Farber Cancer Institute, Boston, in Statistics in Medicine "Deserves a place on the desks of all medical researchers who are involved in, or need to assess, quantitative research" Dev Med Child Neurol --This text refers to an out of print or unavailable edition of this title.

From the Back Cover

This popular book is recognised as a standard text for medical researchers and statisticians advising in medicine. Its first edition was reprinted six times. This new edition continues to cover basic principles, techniques of varying complexity, and applied statistical methods, and now contains a new chapter on statistical computation. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 500 pages
  • Publisher: Blackwell Science Ltd; illustrated edition edition (February 1971)
  • Language: English
  • ISBN-10: 0632054301
  • ISBN-13: 978-0632054305
  • Product Dimensions: 9 x 6 x 1.3 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #3,611,240 in Books (See Top 100 in Books)

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Customer Reviews

6 Reviews
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4 star:
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Average Customer Review
4.3 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

7 of 7 people found the following review helpful:
5.0 out of 5 stars The bible of biostatistics., August 19, 2004
By 
pg (New York, USA) - See all my reviews
This is definitely one of the most comprehensive of all biostatistics textbooks out there and it is also the best. Authoritative in style, it starts from the very basics and surveys in *detail* almost every method in biostatistics.

You will be impressed: Apart from *all* the basic techniques usually found in most biostatistics texbooks, it has two extensive chapters on Bayesian methods (with Gibbs sampling, MCMC, etc., you name it), extensive treatments of clinical trials, extensive treatments of longitudinal data and GEE models, extensive details on the bootstrap and jackknife, an extensive chapter on methods in epidemiology (risk ratios, Mantel-Haenszel method), extensive treatments of categorical data (contingency tables, logistic regression), and an extensive chapter on survival analysis. This is indeed a very extensive book.

"Statistical Methods in Medical Research" is also a book on methodology, so theorems and proofs are not to be expected. Also there are no exercises, but there are excellent illustrative examples of the various methods. While it is very descriptive, it contains enough mathematics to keep the presentation of concepts *complete*. It is also very up-to-date and has an excellent reference list.

In a nutshell, this is a work of great ambition and vision: it will cater for beginners and masters alike.




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4 of 4 people found the following review helpful:
4.0 out of 5 stars Good Primer of Medical Statistical Theory, March 31, 2004
By 
E. BARQUIST "EB" (Miami, FL United States) - See all my reviews
(REAL NAME)   
This edition if the classic text is extensively revised from previous editions. It offers a good background of theoretical considerations in biomedical statistics. It is particularly useful for the non-statistician physician who is involved in clinical trials.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Invaluable resource on all levels, December 27, 2008
By 
Robert Hill (Santa Rosa, CA USA) - See all my reviews
(REAL NAME)   
As a principal level Statistician in industry, I have long used Armitage's earlier edition of this text to lend as a resource for non-statistical colleagues, because of its lucid and easily understandable explanations of statistical concepts. However, it has also proved a valuable resource to me personally, because it provided all of the formulas and calculations that I needed to manually recreate analyses; as an example, to calculate overall summary statistics from the summaries of component subgroups. I purchased this new edition for the additional content, such as Bayesian analysis, and have discovered that it still retains all of the advantages of the earlier work.

In short, I find this book to provide the most understandable introduction to statistical concepts, as well as the most useable content, of any such text that I have read. It is invaluable to both the consulting statistician and the practitioner who occasionally has to go 'outside the box' in applying statistical methods.
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Inside This Book (learn more)
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First Sentence:
In one sense medical statistics are merely numerical statements about medical matters: how many people die from a certain cause each year, how many hospital beds are available in a certain area, how much money is spent on a certain medical service. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
jackknife residual, missing value process, protocol departures, standardized normal deviate, fractional polynomials, ith percentile, frequentist setting, full conditional distributions, blue right eye, standardized deviate, logrank test, repeated significance tests, direct linear plot, same marginal totals, frequentist methods, deviance test, accelerated failure time model, covariate patterns, frequentist analysis, dispersion matrix, continuity correction, equivalence trials, logged values, marginal posterior distribution, null expectation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Appendix Table, Geigy Scientific Tables, Medical Research Council, Collaborative Group, Vmax Vmax, Present Absent Present, Steering Committee, Treatment Subject
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