Statistical Methods in Medical Research

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Summary: Begin to learn Statistics through this book
Review: For a beginner, it is really an excellent book. It almost has included all of the most important statistical methods practiced in medical research without pricing at detail loss. Its way of lucid writing and rich examples can help a beginner read through the whole book with some joy. For a senior one on this field, I still think that he/she can take it as a handbook and believe he can find some clue before he pays more attention to another throughly reading.
The new edition adds a lot of new contents especially the Bayes' theroy which is becoming a fashion in nowadays.

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Summary: Statistical Methods in Medical Research
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Summary: Good Primer of Medical Statistical Theory
Review: 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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Summary: The bible of biostatistics.
Review: 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.