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Understanding the Framework for RWD Study Design

In the rapidly evolving landscape of healthcare research, the utilization of Real-World Data (RWD) has come to the forefront. This approach is being heralded as a significant tool for causal inference, enabling researchers to derive actionable insights that can pave the way for evidence-based decisions. On July 16, 2026, Xtalks will host a free webinar titled "From Data to Evidence: A Framework for RWD Study Design & Causal Inference," where experts will share their insights into effectively designing studies that leverage RWD.

The Challenge of Generating Credible Insights

The use of RWD brings both opportunities and challenges. While organizations have access to vast amounts of data, simply acquiring this information is not enough. To extract reliable and decision-ready insights, researchers must align the causal questions they aim to answer with appropriate study designs and suitable data sources. A common pitfall many organizations encounter is treating data acquisition as the end goal, neglecting the fact that poorly matched methodologies can lead to misleading results, regardless of the dataset's quality.

A Structured Approach to RWD Studies

The upcoming webinar will introduce participants to a practical framework that emphasizes rigorous RWD study design for causal inference. This framework posits that one cannot predetermine study design or analytical methods without first considering the data source. Conversely, starting from the data backward to formulate the question is a common mistake observed under the pressure of time constraints.

During the session, attendees will learn how to manage the relationship between research questions and data transparently. The presenters will introduce the target trial framework, which will guide participants in framing a robust research question and adapting their design iteratively. The goal is to ensure that researchers eventually determine a viable study design that aligns with their available data or conclude that their data is not suitable for the research inquiry.

Key Topics and Takeaways

The webinar will cover two primary aspects vital for conducting RWD studies:
1. Establishing a Clear Question and Study Design: It emphasizes the importance of beginning with a strong foundation—an explicitly framed research question based on the target trial framework. This step is crucial in ensuring that the study design aligns with the created question from the outset.
2. Assessing the Fitness for Purpose: A structured approach will be introduced to help participants evaluate whether the data meets the needs of the study question and design.

By the end of the webinar, attendees will walk away with practical knowledge and an actionable set of decision points they can apply immediately in their research endeavors.

Featured Speakers

The event will feature two prominent industry experts. Jeffrey S. Brown, PhD, the Chief Scientific Officer at TriNetX, will share his expertise on data usage and study methodology. Joining him is Miguel Hernán, MD, PhD, ScD, Director of CAUSALab and Professor of Biostatistics and Epidemiology at Harvard, who will provide invaluable insights into causal inference.

Get Involved

For professionals engaged in healthcare research, this webinar presents a vital opportunity to enhance your understanding of RWD study design. Don’t miss out on this chance to learn how to effectively apply real-world data to strengthen causal inference and make fit-for-purpose data decisions.

To register for this informative session on July 16, 2026, at 11 AM EDT, visit the Xtalks website and secure your spot today. As a leader in the life science community, Xtalks strives to empower professionals with trusted knowledge and collaborative insights that advance the industry.

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