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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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The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve;
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research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the;
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High-Yield (TM) Biostatistics, Epidemiology, and Public Health, Fourth Edition provides a concise review of the biostatistics concepts that;
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Understanding Epidemiology: Concepts, Skills, and Application teaches students the skills required to think critically about public health;
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. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples;
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. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples;
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This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are;
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chapter on H1N1 and Bird flu, this book will be important for students and professionals in public health and epidemiology. Focuses;
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sciences with little or no background on mathematics Presents a new section dedicated to epidemiology and public health, broadening;
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Association, this book remains the essential reference for anyone studying or working in epidemiology, biostatistics, public health, medicine, or the;
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A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community This comprehensive;
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Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics;
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Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics;
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book is written to serve both graduate and undergraduate public health students, as well as to help prepare for the Certified in Public Health;
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in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested;
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biomedical and public health relevance of what it means for acondition to be related to aging. In this pursuit, the book presents a new quantitative;
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for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for;
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for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for;
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Public health refers to building an organized effort towards prevention of diseases, promotion of health and improved life expectancy. It;
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Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development;
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This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside;
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application and practice are essential to address public health issues. That is why this book provides not only the theory, but also the opportunity;
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;
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Written for public health professionals and students, the Dictionary of Public Health Education and Health Promotion, Second Edition;
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data;
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is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For;
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