Unmeasured Confounding
Lucy highlights the pitfalls of relying on observational studies, particularly the danger of unmeasured confounding variables. She discusses how studies on hormone replacement therapy and heart disease misled researchers due to overlooked socioeconomic factors, emphasizing that sophisticated analyses do not guarantee unbiased results. This conversation serves as a reminder to critically evaluate the variables included in any analysis, regardless of past findings.In this clip
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Practical AI
A casual conversation concerning causal inference
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