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  • SAS Institute  (3)
  • Cary, NC : SAS Institute, Inc.  (1)
  • Cary, NC : SAS Pub.  (1)
  • Hoboken, New Jersey : John Wiley & Sons  (1)
  • Electronic books ; local  (3)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    The SAS programmer's PROC REPORT handbook : ODS companion (2018)
    Cary, NC : SAS Institute, Inc.
    Details
    ISBN: 9781635263534 , 1635263530
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SAS (Computer file) ; SAS (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Generate reports with style! The SAS Programmer's PROC REPORT Handbook: ODS Companion explains how to use style elements within a style template to customize reports generated by PROC REPORT, leading to more appealing and effective business reports. Many programmers are faced with generating reports that are easy to read and comprehend for a wide variety of audiences, which is where the ODS destinations and style changes come into play. This book teaches you how to use style elements in PROC REPORT, a versatile reporting procedure, to customize your output. Mastering style elements allows you to change visual aspects of reports, such as borders, column widths, fonts, backgrounds, and more. This companion to The SAS Programmer's PROC REPORT Handbook: Basic to Advanced Reporting Techniques explores how the style elements within a style template affect the output generated by PROC REPORT. It provides examples of altering the style elements and the effect on the main ODS destinations, while also discussing common pitfalls that programmers can avoid while working with tables, Microsoft Excel, Microsoft Power Point, and PDF output.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (viewed March 30, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781635263534/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Strategies in biomedical data science : driving force for innovation (2017)
    Hoboken, New Jersey : John Wiley & Sons
    Details
    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)
    URL: https://learning.oreilly.com/library/view/-/9781119232193/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Analyzing receiver operating characteristic curves with SAS (2007)
    Cary, NC : SAS Pub.
    Details
    ISBN: 9781599946344 , 1599946343
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Series Statement: SAS Press series
    Parallel Title: Erscheint auch als
    Keywords: SAS (Computer file) ; Receiver operating characteristic curves ; Computer programs ; SAS (Computer program language) ; Data mining ; Diagnosis ; Data processing ; Medical statistics ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: As a diagnostic decision-making tool, receiver operating characteristic (ROC) curves provide a comprehensive and visually attractive way to summarize the accuracy of predictions. They are used extensively in medical diagnosis and increasingly in fields such as data mining, credit scoring, weather forecasting, and psychometry. In Analyzing Receiver Operating Characteristic Curves with SAS, author Mithat Gonen illustrates the many existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros. Both parametric and nonparametric methods for analyzing ROC curves are covered in detail. Topics addressed include: Appropriate methods for binary, ordinal, and continuous measures Computations using PROC FREQ, PROC LOGISTIC, PROC NLMIXED, and macros Comparing the ROC curves of several markers and adjusting them for covariates ROC curves with censored data Using the ROC curve for evaluating multivariable prediction models via bootstrap and cross-validation ROC curves in SAS Enterprise Miner And more! Written for any statistician interested in learning more about ROC curve methodology, the book assumes readers have a basic understanding of regression procedures and moderate familiarity with Base SAS and SAS/STAT. Some familiarity with SAS/GRAPH is helpful but not essential. This book is part of the SAS Press program.
    Note: Includes bibliographical references and index. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781599942988/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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