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  • SAS Institute  (4)
  • Cary, N.C. : SAS Institute Inc.  (2)
  • Cary, N.C. : SAS Instute  (1)
  • Hoboken, New Jersey : John Wiley & Sons  (1)
  • Electronic books ; local  (4)
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  • 1
    Online Resource
    Online Resource
    Hoboken, New Jersey : John Wiley & Sons
    ISBN: 9781119255970 , 111925597X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Wiley & SAS business series
    Keywords: Medical informatics ; Computational biology ; Methods ; Cybernetics ; Methods ; Electronic books ; Electronic books ; local
    Abstract: An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (viewed January 24, 2017)
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  • 2
    ISBN: 9781612900902 , 1612900909
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Edition: 3rd ed.
    Parallel Title: Erscheint auch als
    Keywords: SAS (Computer file) ; Mathematical statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay analysis. The third edition updates the use of SAS/STAT software to SAS/STAT 12.1 and incorporates ODS Graphics. Many additional SAS statements and options are employed, and graphs such as effect plots, odds ratio plots, regression diagnostic plots, and agreement plots are discussed. The material has also been revised and reorganized to reflect the evolution of categorical data analysis strategies. Additional techniques include such topics as exact Poisson regression, partial proportional odds models, Newcombe confidence intervals, incidence density ratios, and so on. This book is part of the SAS Press program.
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 3
    Online Resource
    Online Resource
    Cary, N.C. : SAS Institute Inc. | Boston, Mass. :Safari Books Online,
    ISBN: 9781599946597 , 1599946599
    Language: English
    Pages: xviii, 248 p , ill. , 23 cm
    Edition: 2nd ed.
    Series Statement: SAS Press series
    Keywords: SAS (Computer file) ; Electronic data processing ; Data preparation ; Electronic books ; local
    Abstract: Thoroughly updated for SAS 9, Cody's Data Cleaning Techniques Using SAS, Second Edition, addresses tasks that nearly every SAS programmer needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify for your own special data cleaning needs. Each topic is developed through specific examples, and every program and macro is explained in detail.
    Note: Includes index
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  • 4
    Online Resource
    Online Resource
    Cary, N.C. : SAS Institute Inc. | Boston, Mass. :Safari Books Online
    ISBN: 9781580256001 , 1580256007
    Language: English
    Keywords: SAS (Computer file) ; Electronic data processing ; Data preparation ; Electronic books ; local
    Abstract: The key to ensuring accurate data is having clean data. This book develops and describes data cleaning programs and macros. You can use many of the programs and macros that are provided, as is, or you can modify them for your own special data cleaning tasks. Ron has carefully explained and documented each of the programs and macros, thus providing you with SAS programming instruction on an intermediate-to-advanced level. Topics presented include validation checks on character data, numeric data, missing values, and date values; searching for duplicate records; working with multiple files; double entry and verification using the COMPARE procedure; and SQL solutions and using validation data sets. Written in Ron's signature informal, tutorial style, this book gives anyone who manages data thoroughly documented, step-by-step instructions for the development of data cleaning programs and macros. Supports releases 6.12 and higher of SAS software.
    Note: Includes bibliographical references and index
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