Key Features: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes instructor's guide, student solutions manual, and downloadable data sets.Author: Pezzullo | Category: Statistics | Language: English | Page: 408 | ISBN: 1118553985 | ISBN13: 9781118553985 |ĭescription: Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. Also included are an instructor's guide, student solutions manual, and downloadable data sets. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. Illustrative examples, including real-life research problems drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output.
Biostatistics books free download manual#
* Emphasizes underlying statistical concepts more than competing texts * Focuses on experimental design and analysis, at an elementary level * Includes an introduction to linear correlation and regression * Statistics are central: probability is downplayed * Presents life tables and survival analysis * Appendix with solutions to many exercises * Special instructor's manual with solution to all exercises
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The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching. Statistical computing packages - MINITAB, SAS and Stata - are integrated. Real data, both processed and raw, are used extensively in examples and exercises. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. An understanding of underlying design and analysis is stressed. Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation. The book assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required. The population of students in these courses is a diverse one, with varying preparedness. The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research.
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