Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work. Introduces procedures, such as multiple regression, Poisson distribution, binomial and multinomial distributions, variance analysis, and how to design and sample clinical trials Presents a new section on ANCOVA Gives references to free online tests Includes over 200 diagrams, enabling the reader to visualize the results Discusses NHST testing in detail, its disadvantages, and how to think about probability
This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields.
The principles and methods described in this book are basic and apply to all medical subspecialties, psychology and education.
Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices.
The interested reader can consult one of many mathematical statistics textbooks, for example, Larsen and Marx (1) or Rice (2). In the sections that follow, some of the more frequently encountered sampling distributions are discussed.
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Cox, D. R. and Oakes, D. (1984). Analysis of Survival Data. New York: Chapman & Hall. Cutler, S. J. and Ederer, F. (1958). Maximum utilization of the life table method in analyzing survival. Journal of Chronic Diseases, 8, 699–712.
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of...
This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast ...
... 134, 135, 138 software, 142–144 survival parameterization, 130 nested case–control approach, 6 network algorithms, 52 Newton–Raphson (NR) algorithm, 154 Neyman–Pearson framework, 316, 317 non-informative, 310, 315, 318, 319, 321, ...
Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis).