Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health by Joann G. Elmore; Dorothea Wild; Heidi D. Nelson; David L. KatzJekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health is the only textbook that combines the disciplines of medical epidemiology, biostatistics, preventive medicine, and public health in one convenient resource. Written by renowned epidemiologists and public health experts, this text presents the information with a clinical focus, using real-life medical examples throughout. With review questions in each chapter to maximize knowledge retention and target key areas of review, it serves as an outstanding resource for USMLE prep - and is recommended by the American Board of Preventive Medicine as a top review source for its core specialty examination.-- Publisher
ISBN: 9780323642019
Publication Date: 2020-01-29
Epidemiology and Biostatistics An Introduction to Clinical Research by Kestenbaum, BryanThis is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods. It presents the core concepts of epidemiology and of biostatistics and illustrates them with extensive examples from the clinical literature. It is the only book on the market written to speak directly to medical students and first-time biomedical researchers by using language and examples that are easy to understand. This newly updated second edition is extensively rewritten to provide the clearest explanations and examples. There is also a sister-text, a 150-problem workbook of practice problems that can be purchased alongside this textbook. The author continues to provide a text that is attractively fast-paced and concise for use in condensed courses, such as those taught in medical school. The book is an excellent review for the epidemiology section of the United States Medical Licensing Examination Part I which all medical students must take at the end of the second year.
ISBN: 9783319966441
Publication Date: 2019
Biostatistics for Human Genetic Epidemiology by Bertram K. C. ChanThis text illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative genetic epidemiology, biostatistics for human genetic epidemiology. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis.
ISBN: 9783319937908
Publication Date: 2018-11-03
Pediatric Epidemiology by W. Kiess (Editor, Contribution by); C. -G. Bornehag (Editor); C. Gennings (Editor)Pediatric epidemiology differs substantially from general epidemiology especially when it comes to ethical, developmental and societal aspects. This unique book addresses biological considerations and ethical and legal questions in dealing with pediatric and adolescent populations. Classic topics, such as how to recruit representative samples, how to deal with confounding variables, and how to work with genetic information are the core areas of the book are also in focus. Last but not the least, this volume adds to the current understanding of global trends in occurrence, transmission, and control of epidemic pediatric diseases. This book not only serves as a textbook for epidemiologists, pediatricians, geneticists, and child and public health specialists but is also a key reference for those embarking on pediatric cohort studies and epidemiological studies involving the pediatric population.
ISBN: 9783318061222
Publication Date: 2017-12-11
Computational and Methodological Statistics and Biostatistics Contemporary Essays in Advancement by Bekker, Andriëtte (editor) ; Chen, (Din) Ding-Geng (editor) ; Ferreira, Johannes T (editor)In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: • Recent developments in theory and applications of statistical distributions; • Recent developments in supervised and unsupervised modelling; • Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others. .
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