Episode Builder Features for SAS Health Analytics Framework 4.5
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.
SAS Health Cohort Builder
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.
SAS Life Science Analytics Framework Essentials
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.
SAS Life Science Analytics Framework Programming
This course introduces the users to the programming environment in SAS Life Science Analytics Framework 5.4.
SAS Life Science Analytics Framework Administration
This course provides training for user administrators, project leads, and application administrators of SAS Life Science Analytics Framework 5.4.
Establishing Causal Inferences: Propensity Score Matching, Heckman’s Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models
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?
SAS Clinical Enrollment Simulator Overview
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.
