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  • Aging in Americaby Robert L. Scardamalia

    Bernan Press 2014; US$ 109.99

    In light of the aging baby boomer population, concerns about the financial stability of Social Security, trends in disability, health care costs, and the supply of caregivers are all topics at the forefront of conversation. Aging in America focuses on this concern, and presents comparative data that speaks to the broader American population.... more...

  • Analysis of Biomarker Databy Stephen W. Looney; Joseph L. Hagan

    Wiley 2015; US$ 125.00

    A “how to” guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary... more...

  • Answering Questions With Statisticsby Robert F. Szafran

    SAGE Publications 2011; US$ 73.00

    Finally, an introductory statistics text that provides broad coverage, limited theory, clear explanations, plenty of practice opportunities, and examples that engage today's students! Using General Social Survey data from 1980 and 2010, Robert Szafran asks students to consider how young adults have changed over the last 30 years. Students learn to... more...

  • Applied Matrix and Tensor Variate Data Analysisby Toshio Sakata

    Springer Japan 2016; US$ 54.99

    This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications... more...

  • Applied Ordinal Logistic Regression Using Stataby Xing Liu

    SAGE Publications 2015; US$ 50.00

    The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata by Xing Liu helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions,... more...

  • Applied Regression Analysis and Generalized Linear Modelsby Jr. John Fox

    SAGE Publications 2015; US$ 80.00

    Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout,... more...

  • Applied Statisticsby Rebecca M. Warner

    SAGE Publications 2012; US$ 100.00

    Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require... more...

  • Bare-Bones Rby Thomas P. Hogan

    SAGE Publications 2009; US$ 26.00

    A practical, hands-on introduction to the elements of R and R Commander. more...

  • Beginning Statisticsby Liam Foster; Ian Diamond; Julie Jefferies

    SAGE Publications 2014; US$ 41.00

    With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with a step-by-step introduction to using statistics. more...

  • Best Practices in Logistic Regressionby Jason W. Osborne

    SAGE Publications 2014; US$ 37.00

    Jason W. Osborne?s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers? basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression.... more...