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Generating high-validity evidence in real-world settings requires careful handling of complex data and extraction of challenging data elements. This webinar presents a case study in asthma, focusing on two critical but difficult-to-measure outcomes: asthma exacerbations and pulmonary function test results. We will walk through the full lifecycle of evidence generation: from identifying data needs to applying advanced methods, addressing practical challenges, and evaluating results. Special attention will be given to model accuracy and the value of quality in variable computation, demonstrating how rigorous approaches can significantly improve reliability and interpretability of findings.
The session will also feature a brief demonstration of an asthma Pragmatic Registry™, highlighting how customer-requested outcomes such as asthma exacerbations and clinical endpoints can be effectively captured and analyzed. Participants will gain insights into best practices for managing difficult-to-measure variables, ensuring data validity, and building robust real-world evidence pipelines in asthma and beyond.
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