What if you could run a clinical trial… without randomizing anyone?

In this episode, we break down propensity score methods — one of the most important tools in biostatistics for turning messy observational data into something closer to a fair comparison.

You’ll learn:

• Why observational studies are biased by default
• How propensity scores balance treated vs untreated groups
• The 4 major methods (matching, weighting, stratification, adjustment)
• When they work… and when they fail

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