Differences between association and prediction studies

Key points

  • Association and prediction studies have different goals. Machine learning excels in prediction studies.
  • Association studies focus on understanding a phenomena. They look for relationships between variables and outcomes, but they might not have predictive power.
  • Prediction studies use many variables to create predictors. They learn patterns in the training data to make predictions on new data. They might be very accurate, but hard to interpret, and that is fine.

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