- Role in Clinical Research: Reviewing the importance/applications of RWCCs in clinical research
- Study Design: How to select appropriate RWCCs, considering factors such as data source, inclusion/exclusion criteria and potential biases
- Data Sources: Understanding the strengths and limitations of different real-world data sources, including electronic health records, claims data and patient registries and explore approaches for pooling data from various sources
- Statistical Analysis: Exploring appropriate statistical methods for analyzing RWCC data, including propensity score matching, regression adjustment and instrumental variable analysis
- Bias and Confounding: Identifying and addressing potential sources of bias and confounding in RWCC studies such as selection bias, measurement error and unmeasured confounding
- Case Example: Examine a real-world example of successful use of RWCCs in clinical trials, highlighting best practices and lessons learned
Register now for this webinar focusing on the use of real-world comparator cohorts in clinical trials and their growing role in research.
Join Kitty Rajagopalan, PhD, President & Chief Scientific Officer, Anlitiks, for the live webinar on Thursday, August 22, 2024, at 12pm EDT (6pm CEST/EU-Central).
For more information, or to register for this event, visit Leveraging Real-World Comparator Cohorts in Clinical Trials: A Methodological Deep Dive.
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Contact:
Vera Kovacevic
Tel: +1 (416) 977-6555 x371
Email: [email protected]
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Vera Kovacevic, Xtalks, +1 (416) 977-6555 x371, [email protected], www.xtalks.com
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