Thursday, 17 October 2013

Biostatistics Decoded

The purpose of the book is to present statistical theory and biostatistical methods and applications through a different approach than the one usually adopted by conventional statistical texts.

First, the book integrates topics that, typically, are dealt with in separate books, that is, it covers sampling methods, study design, and statistical methods in a single book and is organized in short chapters structured according to the areas of application of the statistical methods and relating the methods with the corresponding study designs.

Second, and probably the most appealing aspect of the book, biostatistics are presented in a strictly non-mathematical approach, emphasizing the rationale of statistical theory and methods rather than mathematical proofs and formalisms. Illustrations, working examples, computer simulations, and geometrical approaches, rather than mathematical expressions and formulas, are used throughout the book to explain every statistical method.

Third, the topics selected for this book cover most needs of clinical researchers, regarding both study designs and statistical methods, considering the contents of the current scientific literature. The reader will find an explanation of every statistical method, from simple interval estimation and standard statistical tests to advanced methods such as multiple regression, survival analysis, factor analysis, and metaanalysis.

Fourth, the presentation of statistical theory is gradually built upon very simple basic concepts, such as the properties of means and variances, the properties of the normal distribution, and the central limit theorem. This will allow the reader to understand the conditions required for the application and the limitations of each method.

Therefore, this book will satisfy most needs of clinical researchers and medical professionals, offering in a single volume a clear and simple explanation of over 90% of the statistical methods they are likely to find in scientific publications or are likely to need in the course of their own research. In addition, the book is written according to two skill levels, one for readers who are interested only in understanding the methods and results presented in scientific papers, and one for readers who also wish to know how calculations are done. Even for these, no mathematical skills are required beyond the basic arithmetic operations and an understanding of what square roots and logarithms are.


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