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  • 1
    Online Resource
    Online Resource
    Real World Health Care Data Analysis (2020)
    [Erscheinungsort nicht ermittelbar] : SAS Institute | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (436 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding
    Note: Online resource; Title from title page (viewed January 15, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781642958003/?ar
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  • 2
    Online Resource
    Online Resource
    Analysis of observational health care data using SAS (2010)
    Cary, NC : SAS Institute
    Details
    ISBN: 9781607644248 , 160764424X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SAS (Computer file) ; Medical records ; Management ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed January 14, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781607642275/?ar
    Library Location Call Number Volume/Issue/Year Availability
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