Quantifying the Impacts of Clinical Intervention Programs Using Propensity Score Matching in SAS®

This webinar will show you how propensity score matching methods can be applied within SAS to control for confounder biases often present in historical clinical/claims data. Recommended for those within health care payers and larger provider systems who want to quantify the impacts of novel clinical intervention programs.

You will learn:

• The definition of propensity score matching.
• How SAS tools can be used to help detect potential biases in cohort-based studies.
• How PROC PSMATCH can be used to implement a propensity score matching algorithm.
• How to determine the quality of your propensity score matching algorithm.
• Beyond clinical intervention programs, what other applications in health care exist.

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