The promise of real-world data lies in its high external validity for characterizing patient experience as it exists in real life, across a heterogeneous breadth of diseases, patient types, and treatments. With this breadth comes the challenge of understanding and comparing findings between studies conducted by different researchers, in different datasets, or at different times.
This webinar will address how the use of technology for deploying data and analytic standards can be utilized to meet this challenge, by facilitating the standardization, transparency, reproducibility, and replicability of RWD research. Examples and Use Cases will be shared to illustrate how this approach greatly enhances rapid iteration of analytical methods and boosts confidence in research results.
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