Also, the categories they matched on were pretty broad, and might include pretty much anything (i.e. "cardiovascular complications") so might just be a case of a ridiculous propensity score that was a waste of time rather than an error
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That being said, I could probably reproduce that table in my dataset of 100,000 people, with only 2,500 it becomes pretty unlikely imo
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