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Pragmatic Clinical Trial Resources
Using Real World Data
Using Real World Data
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Video Transcription
Video Summary
Austin Miller explains real-world data (RWD) as routinely collected health care information used to bridge gaps between clinical trials and everyday patient care. He emphasizes that randomized trials provide internally valid evidence, while RWD helps assess generalizability, safety, epidemiology, and treatment use. The talk covers RWD sources, the importance of standardized data structures, and planning steps: define the question, choose an appropriate observational design, and write a detailed statistical analysis plan. He also highlights privacy protections, bias/confounding concerns, and methods like causal modeling, instrumental variables, and propensity scores to turn RWD into real-world evidence and insights.
Asset Subtitle
Using Real World Data by Austin Miller
Keywords
real-world data
clinical trials
observational study design
propensity scores
causal modeling
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