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Applied biostatistics for the health sciences / Richard J. Rossi, Montana Tech, Butte, Montana. Hoboken, NJ : Wiley, 2022685 tr. ; cm.Prior to the twentieth century, medical research was primarily based on trial and error and empirical evidence. Diseases and the risk factors associated with a disease were not well understood. Drugs and treatments for treating diseases were generally untested. The rapid scientific breakthroughs and technological advances that took place in the latter half of the twentieth century have provided the modern tools and methods that are now being used in the study of the causes of diseases, the development and testing of new drugs and treatments, and the study of human genetics and have been instrumental in eradicating some infectious diseases. Modern biomedical research is evidence-based research that relies on the scientific method, and in many biomedical studies it is the scientific method that guides the formulation of well-defined research hypotheses, the collection of data through experiments and observation, and the honest analysis whether the observed data support the research hypotheses. When the data in a biomedical study support a research hypothesis, the research hypothesis becomes a theory; however, when data do not support a research hypothesis, new hypotheses are generally developed and tested. Furthermore, because statistics is the science of collecting, analyzing, and interpreting data, statistics plays a very important role in medical research today. In fact, one of the fastest growing areas of statistical research is the development of specialized data collection and analysis methods for biomedical and healthcare data. The science of collecting, analyzing, and interpreting biomedical and healthcare data is called biostatistics
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Essentials of Biostatistics in Public Health / Lisa M. Sullivan Burlington, Massachusetts : Jones & Bartlett Learning, 2018391 tr. ; cm.Essentials of Biostatistics in Public Health, Fourth 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 text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations.The Fourth Edition has been thoroughly updated, and now offers a new chapter on career opportunities and new case studies in each chapter focused on COVID-19. This edition will also include free access to JMP Student Edition Software, which is an easy-to-use version of SAS' statistical discovery software and is well-suited to for introductory or intermediate statistics courses. Key Features: Updated "in the news" features at the start of each chapter Additional problems for students to test their knowledge Revised instructor resources with suggestions for teaching biostatistics online Updated Excel Workbook - included in the ebook - provides hands-on experience with statistical computing using Microsoft Excel New JMP Student Edition Software - included for free download with purchase of the book or eBook - provides a streamlined, easy-to-use version of SAS' statistical discovery software New accompanying JMP workbook - included in the eBook- provides exercises and examples of how to use JMP modeling and computing biostatistics
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