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An introduction to classical biostatistical methods in epidemiology, Biostatistical Methods in Epidemiology provides an introduction to a;
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This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as;
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This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as;
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analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health;
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Epidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine;
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understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft(R) Office;
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, and real-world applications. Utilizing the modern biostatistical approach to studying disease, Epidemiology Kept Simple, Second Edition will;
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Innovative Methods for Rare Diseases Drug Development focuses on biostatistical applications in terms of design and analysis;
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goals, clinicians need to be familiar with the basic concepts of epidemiology and biostatistics. Epidemiology is more than "the study of"--its;
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design, biostatistical basis of inference in heart failure study, advanced biostatistics and epidemiology applied in heart failure study, and;
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This 5-volume reference covers the entire field of epidemiology, from statistical methods and study design, to specialized areas such as;
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in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis;
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predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping;
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predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping;
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at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous;
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at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous;
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. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods;
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for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise;
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Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage;
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Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel practical and;
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Selected as a Doody's Core Title for 2022! Now in a fully revised 4th Edition, Modern Epidemiology remains the gold standard text;
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The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this;
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of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the;
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. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;
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: * design considerations in molecular epidemiology, including: case-only family-based approaches for evaluation of genetic susceptibility;
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The expanded Second Edition of Dr. Rothman's acclaimed Modern Epidemiology reflects the remarkable conceptual development of this evolving;
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What is the nature of epidemiology? Why is epidemiology so important in the context of health, and particularly public health, in South;
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