When writing about clinical trial data, the days of simply repeating numbers from a table have passed. Whether you are writing about data for regulatory reviewers, journal readers, patients, or other groups, your audience wants and deserves to read messages about what the data mean. But how does one interpret data to write accurate and effective messages? In this session, the science (and art!) of interpreting data from clinical trials will be discussed and practiced, with a focus on understanding different statistical approaches to gain confidence in what can (and cannot) be said about the data. Techniques for getting stakeholder input and alignment on key interpretations and messages will also be presented. Embrace your role as a data interpreter with the knowledge and ability to lead your team through the creation of message-based documents.
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