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📝Essentials of Biostatistics in Public Health Book Synopsis : Study designs -- Quantifying the extent of disease -- Summarizing data collected in the sample -- The role of probability -- Confidence interval estimates -- Hypothesis testing procedures -- Power and sample size determination -- Multivariable methods -- Nonparametric tests -- Survival analysis -- Data visualization
📒Essentials Of Biostatistics In Public Health ✍ Lisa Marie Sullivan
📝Essentials of Biostatistics in Public Health Book Synopsis : Essentials of Biostatistics provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistical applications in the field of public health. As the sixth offering in the new Jones and Bartlett Essential Public Health series, the text complements and is consistent with the approach used in the other series titles. Many examples are drawn directly from the authors' remarkable clinical experiences with applied biostatistics, making this text relevant, practical, and interesting for students. The authors are integrally involved with the Framingham Heart Study, and data will be used from that study throughout the textbook.
📒Essentials Of Biostatistics In Public Health ✍ Jones & Bartlett Learning, LLC
📝Essentials of Biostatistics in Public Health Book Synopsis :
📒Essentials Of Biostatistics In Public Health ✍ CTI Reviews
📝Essentials Of Biostatistics In Public Health Book Synopsis : Facts101 is your complete guide to Essentials Of Biostatistics In Public Health. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
📒The Essentials Of Biostatistics For Physicians Nurses And Clinicians ✍ Michael R. Chernick
📝The Essentials of Biostatistics for Physicians Nurses and Clinicians Book Synopsis : 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 research and provides insight on their appropriate application. 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?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. 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 also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.
📒Essentials Of Biostatistics ✍ INDRANIL SAHA
📝ESSENTIALS OF BIOSTATISTICS Book Synopsis :
📒Essentials Of Epidemiology In Public Health ✍ Ann Aschengrau
📝Essentials of Epidemiology in Public Health Book Synopsis : 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."
📒Essentials Of Public Health Communication ✍ Claudia Parvanta
📝Essentials of Public Health Communication Book Synopsis : Health Sciences & Professions
📒Essentials Of Public Health Biology ✍ Constance U. Battle
📝Essentials of Public Health Biology Book Synopsis : Important Notice: the digital edition of this book is missing some of the images or content found in the physical edition.
📒Statistics For Epidemiology ✍ Nicholas P. Jewell
📝Statistics for Epidemiology Book Synopsis : Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes." Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches. Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.