Data Analyst Question:
Explain the difference between association, causation and confounding?
Answer:
One of the most important issues in interpreting research findings is understanding how outcomes relate to the intervention that is being evaluated. This involves making the distinction between association and causation and the role that can be played by confounding factors in skewing the evidence.
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