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Applied Biostatistics for the Health Sciences
John Wiley and Sons Ltd, Jan 2010, Pages: 648
Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB® and Microsoft® Office Excel® data files data for the case studies and exercises that are contained in the text.
Applied Biostatistics for the Health Sciences focuses primarily on the interpretation of a statistical analysis rather than its computational aspects, and it fills a need for a textbook that is designed for serious consumers of statistics such as nurses and health care informatists. Output from R, SAS, SPSS, STATA, and MINITAB is used in the examples and exercises included in the book, and a main focus of the text is the interpretation of the output. Unique features of the book include case studies in each section as well as sections on random sampling, logistic regression, experimental design, and survey sampling. By focusing on the correct use and interpretation of statistics rather than computation, this book cover a wide range of modern statistical methods without requiring a high level of mathematical preparation. Other unique features include an emphasis on assessing the quality of the observed data, collecting quality data, and using confidence intervals in conjunction with hypothesis and significance tests. The analysis of qualitative data is given heavier emphasis than the traditional approach, tests of independence are presented in the chapter on hypothesis testing, use of t-tests are presented first, and sampling design and sample size considerations are discussed throughout the text.
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