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  • Epidemiology

    Key to Prevention

    Series series Mathematics and Statistics (R0)
    This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members of international organizations. It is also suitable for parallel or second reading within curricula in developed countries and for teaching epidemiology in a Master’s programme on ... Read more

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    Series series Mathematics and Statistics (R0)
    This is the fifth edition of a very successful textbook on clinical trials methodology, written by recognized leaders who have long and extensive experience in all areas of clinical trials. The three authors of the first four editions have been joined by two others who add great expertise. A chapter on regulatory issues has been included and the chapter on data monitoring has been split into two ... Read more

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  • Applied Survival Analysis Using R

    by Dirk F. Moore ...
    Series series Mathematics and Statistics (R0)
    Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many ... Read more

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  • Biostatistics and Epidemiology

    A Primer for Health and Biomedical Professionals

    Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, ... Read more

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  • Applied Multivariate Statistics with R

    Series series Mathematics and Statistics (R0)
    This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, ... Read more

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  • Numerical Ecology with R

    Series series Mathematics and Statistics (R0)
    Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The ... Read more

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  • Modern Infectious Disease Epidemiology

    Concepts, Methods, Mathematical Models, and Public Health

    Series series Mathematics and Statistics (R0)
    Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and ... Read more

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  • Statistical Analysis with Measurement Error or Misclassification

    Strategy, Method and Application

    by Grace Y. Yi ...
    Series series Mathematics and Statistics (R0)
    This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such ... Read more

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  • Integrating Omics Data

    In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of ... Read more

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  • Introduction to Nonparametric Statistics for the Biological Sciences Using R

    Series series Mathematics and Statistics (R0)
    This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is ... Read more

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  • Advances in Statistical Bioinformatics

    Models and Integrative Inference for High-Throughput Data

    Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the ... Read more

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  • Sedentary Behaviour Epidemiology

    Series series Medicine (R0)
    This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.As a consequence of major technological advances in modern society, many people find themselves in environments characterized by prolonged sedentary behaviour. Although inadequate exercise has long been known to cause adverse health ... Read more

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