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Wagner TH. Risk Adjustment for Cost Analyses: The Development and Implementation of a New System. [Cyberseminar]. 2015 Feb 18.
Risk Adjustment is a statistical method to adjust for observable distances between patients. The goal is to identify opportunities for improvement and development test innovations. Risk adjustment is critical to almost all of the big data sets and analysis that we need to do. Often, we see in these observational data, a considerable amount of confounding. One of the questions is let us try to remove different clinical differences between these patients to make a valid comparison.