Real-time data collection of patient health status and medications is sped up with modern electronic devices and technologies. As real-world data provide enormous research opportunities, propensity score (PS) methods have been getting attention due to their theoretical grounds in a nonrandomized study setting. In contrast to randomized clinical trials, observational clinical data obtained from a real-world database may not have balanced distributions of patient characteristics between treatment and control groups at the beginning of the respective study. These imbalanced distributions may cause a bias in an estimated treatment effect, which needs to be eliminated. At the conclusion of this activity, learners will be able to learn about PS for use in evaluating real-world data to remove elements of bias.
- Provider:American College of Clinical Pharmacology
- Activity Link: https://accp1.org/ACCP1/Events/Event_Display.aspx?EventKey=WEB2022_1
- Start Date: 2022-03-01 06:00:00
- End Date: 2022-03-01 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 1.0 hours
- Commercial Support: No
- Activity Type: Journal-based CE
- CME Finder Type: Other
- Fee to Participate: No, it's free
- Measured Outcome: Learner Competence, Learner Knowledge
- Provider Ship: Directly Provided
- Registration: Open to all