Compatible with any devices. Since it first appeared in , the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output.
This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills.
The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. 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.
These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. Also included are an instructor's guide, student solutions manual, and downloadable data sets.
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.
Drawing on the authorrs"s remarkable clinical experiences with the Framingham Heart Study, Essentials of Biostatistics in Public Health provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistical applications in the field of public health.
With a presentation style that is clear and straightforward, The text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. Features: Perfect for students with very little mathematical background.
Focus is on important and timely public health problems. Features data from the Framingham Heart Study the most widely recognized study of risk factors for cardiovascular disease. For each topic, methodology-including assumptions, statistical formulas, and appropriate interpretations of results-are thoroughly discussed. Includes sections on study design and sample size computation.
Includes an introduction to multivariable statistical methods that is accessible to first year students. Includes statistical computing use Excel or manual calculations.
Errata Sheet. 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 author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non—technical and accessible.
The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics? Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Meta—analysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross—over designs, selection bias, and group sequential methods.
Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It will use examples that are relevant for clinical and health professionals specifically" Successfully tested in the authors' courses at Boston University and Harvard University, this text combines theory and practice in presenting traditional and new epidemiologic concepts.
Broad in scope, the text opens with five chapters covering the basic epidemiologic concepts and data sources. A major emphasis is placed on study design, with separate chapters devoted to each of the three main analytic designs: experimental, cohort, and case-control studies.
Full chapters on bias, confounding, and random error, including the role of statistics in epidemiology, ensure that students are well-equipped with the necessary information to interpret the results of epidemiologic studies. An entire chapter is also devoted to the concept of effect measure modification, an often-neglected topic in introductory textbooks. Up-to-date examples from the epidemiologic literature on diseases of public health importance are provided throughout the book.
The Third Edition is a thorough update that offers: New examples, the latest references, and public health statistics. Nearly 50 new review questions. Updated discussion of certain epidemiologic methods.
New figures depicting epidemiologic concepts. Each chapter includes review questions, and an appendix provides answers with explanations. The improved, more readable format features briefer, bulleted paragraphs, more High-Yield Points, and boldfaced terms. Drawing on the authorrs"s remarkable clinical experiences with the Framingham Heart Study, Essentials of Biostatistics in Public Health provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistical applications in the field of public health.
With a presentation style that is clear and straightforward, The text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations.
Features: Perfect for students with very little mathematical background. Focus is on important and timely public health problems. Features data from the Framingham Heart Study the most widely recognized study of risk factors for cardiovascular disease. For each topic, methodology-including assumptions, statistical formulas, and appropriate interpretations of results-are thoroughly discussed. Includes sections on study design and sample size computation. Includes an introduction to multivariable statistical methods that is accessible to first year students.
Includes statistical computing use Excel or manual calculations. Errata Sheet. This text book is a comprehensive, user friendly and easy to read resource on Biostatistics and Research Methodology. It is meant for undergraduate and post graduate students of medical and biomedical sciences. Health researchers, research supervisors and faculty members may find it useful as a reference book. The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field.
The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc. From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr.
Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.
Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses. Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.
Provides more than additional multiple-choice epidemiology self-assessment questions online. Here is the judges' summary of this book: "This is a technical book on a technical subject but presentedin a delightful way. There are many books on statistics for doctorsbut there are few that are excellent and this is certainly one ofthem. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good asit can get. Second Edition, comes packaged with an access code that gives you entre to an online workbook for statistical computing using Microsoft Excel.
The online workbook is available in both Mac and PC versions. Essentials of Biostatistics in Public Health, Second Edition provides a fundamental and engaging background for students learning. Essentials of Biostatistics in Public Health, Second Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health.
Many examples are drawn directly from the author s remarkable clinical experiences with the renowned Framingham Heart Study, making this. Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields.
The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered. A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical.
This innovative new text emphasizes real-world public health problems and the research questions they inspire.
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