SAS Health and Life Sciences Learning Subscription

Learn how to apply the SAS Life Sciences Analytics solutions to organize, standardize, and manage clinical research data, reduce costs, and improve quality of care.
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About this Subscription



SAS delivers innovative life sciences technologies that help get better, safer therapies to patients faster and improve health care analytics across the health care and pharmaceutical value chain. Learn how Life Sciences Analytics solutions from SAS with predictive analytics and embedded AI capabilities can help your system administrators, data analysts, data scientists, and clinical trial programmers enable the process of health care analytics.

Learn how to:
  • Gain fundamental understanding of the analytical and data structures for operationalizing health and life sciences.
  • Learn to administer the analytical and data structures through authentication, authorization, and auditability mechanisms.
  • Use the SAS and R Program Editors to write and debug code, set up programs, and check job status.
  • Identify cohorts of interest, augment patient cohort data, and apply templated analytics to gain insights quickly.
  • Use the Episode Builder to analyze episodes of care to balance reducing costs and improving quality of care.
  • Establish causal inferences to determine whether the changes in outcomes are causally related to the program or medicine that you are evaluating.

    • SAS delivers innovative life sciences technologies that help get better, safer therapies to patients faster and improve health care analytics across the health care and pharmaceutical value chain. Learn how Life Sciences Analytics solutions from SAS with predictive analytics and embedded AI capabilities can help your system administrators, data analysts, data scientists, and clinical trial programmers enable the process of health care analytics.

    Learn how to:

    Gain fundamental understanding of the analytical and data structures for operationalizing health and life sciences. Learn to administer the analytical and data structures through authentication, authorization, and auditability mechanisms. Use the SAS and R Program Editors to write and debug code, set up programs, and check job status. Identify cohorts of interest, augment patient cohort data, and apply templated analytics to gain insights quickly. Use the Episode Builder to analyze episodes of care to balance reducing costs and improving quality of care. Establish causal inferences to determine whether the changes in outcomes are causally related to the program or medicine that you are evaluating.

    Courses Included in Subscription

    Health and Life Sciences Topics

    1

    • COURSE

      Episode Builder Features for SAS® Health Analytics Framework 4.5
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      This course explores the features and functionality specific to Episode Builder, within SAS Health Analytics Framework 4.5, to balance the goals of cost reduction and quality improvement through analysis of episodes of care. By attending this course, students gain competence with the Health Analytics Framework building block products.

    • COURSE

      SAS® Health Cohort Builder
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      This course explores the features and functionality specific to SAS Health: Cohort Builder in SAS Viya 4. Students gain competence in identifying patient cohorts of interest using simple or compound expressions, augmenting the patient cohort data with analysis variables, and leveraging templated analytics to gain knowledge and insights.

    • COURSE

      SAS® Life Science Analytics Framework Essentials
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      This course is an introduction to SAS Life Science Analytics Framework 5.4. It is the prerequisite for the SAS(R) Drug Development for Programmers/Analysts course.

    • COURSE

      SAS® Life Science Analytics Framework Programming
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      This course introduces the users to the programming environment in SAS Life Science Analytics Framework 5.4.

    • COURSE

      SAS® Life Science Analytics Framework Administration
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      This course provides training for user administrators, project leads, and application administrators of SAS Life Science Analytics Framework 5.4.

    • COURSE

      Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models
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      This course introduces some methods commonly used in program evaluation and real-world effectiveness studies, including two-stage modeling, interrupted time-series, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run?

    • COURSE

      SAS Clinical Enrollment Simulator Overview
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      The SAS® Clinical Enrollment Simulation (CES) applies discrete event simulation (DES) analytical engine to model the process of clinical trial enrollment.  Users input the country, site and study parameters needed to simulate recruitment and financial performance. Intervention scenarios can also be evaluated which, after simulation, users can readily identify the best strategy to take to achieve recruitment milestones. 

    SAS Products Covered

    • SAS Health Analytics Framework
    • SAS Viya
    • SAS Health: Cohort Builder
    • SAS Drug Development
    • SAS Life Science Analytics Framework
    • Base SAS
    • SAS/STAT
    • SAS/ETS


    Certification Preparation



    This learning subscription is not currently associated with a SAS credential. If you are interested in earning the SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 credential, explore the SAS Advanced Programming Professional Learning Subscription and related courses.

    This learning subscription is not currently associated with a SAS credential. If you are interested in earning the SAS Certified Professional: Clinical Trials Programming Using SAS 9.4 credential, explore the SAS Advanced Programming Professional Learning Subscription and related courses.

    “I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”

    Tony Mayo, SAS Customer