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  • Nonparametric Bayesian Inference in Biostatistics

    Edited by Peter Müller, Riten Mitra ...
    Series series Mathematics and Statistics (R0)
    As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the ... Read more

    $89.99 USD

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    Series series Mathematics and Statistics (R0)
    This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: ... Read more

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  • Statistics Explained

    An Introductory Guide for Life Scientists

    An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses ... Read more

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  • Statistics in Food Science and Nutrition

    Series series Chemistry and Material Science (R0)
    Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical ... 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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  • 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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  • 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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  • Machine Learning in Medicine - Cookbook

    Series series Mathematics and Statistics (R0)
    The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing.Obviously, ... Read more

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  • Modern Infectious Disease Epidemiology

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    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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  • Excel 2013 for Environmental Sciences Statistics

    A Guide to Solving Practical Problems

    Series series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of ... Read more

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  • New Developments in Statistical Modeling, Inference and Application

    Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

    Series series Springer Nature Proceedings excluding Computer Science
    The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking ... Read more

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