2024 - Leveraging Real-World Comparator Cohorts in Clinical Trials: A Methodological Deep Dive

Real-world comparator cohorts (RWCC) are increasingly being used in clinical trials as synthetic controls particularly in rare and complex disease populations and in settings where randomized controlled trials (RCTs) are infeasible or unethical. While RWCCs offer potential benefits such as increased efficiency, reduced costs and improved generalizability, their use also raises methodological challenges.
This webinar will delve into methodological considerations surrounding the use of RWCCs in clinical trials, covering topics such as:
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 today focusing on the use of real-world comparator cohorts in clinical trials and increase the understanding of their growing role in research.
Keywords: Clinical Trials, Clinical Research, Randomized Controlled Trials, Real-World Data, Real-World Evidence, Clinical Data, Regulatory, HEOR, RWE, Commercialization/HEOR/Market Access, RWD